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WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

https://doi.org/10.1109/cvpr.2017.631
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10578-9_23openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_26openalex-snapshot
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_54openalex-snapshot
Part-Based R-CNNs for Fine-Grained Category Detection
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_43openalex-snapshot
Weakly Supervised Localization Using Deep Feature Maps
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_32openalex-snapshot
Instance-Sensitive Fully Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_28openalex-snapshot
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_34openalex-snapshot
What’s the Point: Semantic Segmentation with Point Supervision
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_20openalex-snapshot
SPLeaP: Soft Pooling of Learned Parts for Image Classification
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_33openalex-snapshot
Top-Down Neural Attention by Excitation Backprop
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_42openalex-snapshot
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_17openalex-snapshot
Latent Pyramidal Regions for Recognizing Scenes
inferredcites →https://doi.org/10.1007/s11263-014-0733-5openalex-snapshot
The Pascal Visual Object Classes Challenge: A Retrospective
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s11263-017-1059-xopenalex-snapshot
Top-Down Neural Attention by Excitation Backprop
inferredcites →https://doi.org/10.1016/j.cviu.2012.09.007openalex-snapshot
Pooling in image representation: The visual codeword point of view
inferredcites →https://doi.org/10.1016/s0004-3702(96)00034-3openalex-snapshot
Solving the multiple instance problem with axis-parallel rectangles
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2009.5206537openalex-snapshot
Recognizing indoor scenes
inferredcites →https://doi.org/10.1109/cvpr.2012.6248001openalex-snapshot
Reconfigurable models for scene recognition
inferredcites →https://doi.org/10.1109/cvpr.2013.124openalex-snapshot
Blocks That Shout: Distinctive Parts for Scene Classification
inferredcites →https://doi.org/10.1109/cvpr.2014.212openalex-snapshot
PANDA: Pose Aligned Networks for Deep Attribute Modeling
inferredcites →https://doi.org/10.1109/cvpr.2014.222openalex-snapshot
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.288openalex-snapshot
Video Event Detection by Inferring Temporal Instance Labels
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298641openalex-snapshot
Deformable part models are convolutional neural networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298668openalex-snapshot
Is object localization for free? - Weakly-supervised learning with convolutional neural networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298686openalex-snapshot
End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression
inferredcites →https://doi.org/10.1109/cvpr.2015.7298775openalex-snapshot
Deep LAC: Deep localization, alignment and classification for fine-grained recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298780openalex-snapshot
From image-level to pixel-level labeling with Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299056openalex-snapshot
Multiple instance learning for soft bags via top instances
inferredcites →https://doi.org/10.1109/cvpr.2016.129openalex-snapshot
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvpr.2016.326openalex-snapshot
Region Ranking SVM for Image Classification
inferredcites →https://doi.org/10.1109/cvpr.2016.379openalex-snapshot
ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.41openalex-snapshot
Compact Bilinear Pooling
inferredcites →https://doi.org/10.1109/cvpr.2016.513openalex-snapshot
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.572openalex-snapshot
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2003.1238663openalex-snapshot
Video Google: a text retrieval approach to object matching in videos
inferredcites →https://doi.org/10.1109/iccv.2011.6126343openalex-snapshot
Semantic contours from inverse detectors
inferredcites →https://doi.org/10.1109/iccv.2013.422openalex-snapshot
Learning Discriminative Part Detectors for Image Classification and Cosegmentation
inferredcites →https://doi.org/10.1109/iccv.2015.129openalex-snapshot
Contextual Action Recognition with R* CNN
inferredcites →https://doi.org/10.1109/iccv.2015.135openalex-snapshot
Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model
inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot
Fast R-CNN
inferredcites →https://doi.org/10.1109/iccv.2015.209openalex-snapshot
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.311openalex-snapshot
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking
inferredcites →https://doi.org/10.1109/iccv.2017.285openalex-snapshot
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
inferredcites →https://doi.org/10.1109/icip.2016.7533046openalex-snapshot
Max-min convolutional neural networks for image classification
inferredcites →https://doi.org/10.1109/icpr.2014.15openalex-snapshot
Learning Features and Parts for Fine-Grained Recognition
inferredcites →https://doi.org/10.1109/ijcnn.1992.287150openalex-snapshot
Cresceptron: a self-organizing neural network which grows adaptively
inferredcites →https://doi.org/10.1109/tnnls.2014.2307532openalex-snapshot
Learning Deep Hierarchical Visual Feature Coding
inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot
Object Detection with Discriminatively Trained Part-Based Models
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1184/r1/6475985openalex-snapshot
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
inferredcites →https://doi.org/10.18653/v1/d16-1044openalex-snapshot
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
inferredcites →https://doi.org/10.48550/arxiv.1210.5644openalex-snapshot
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1412.6598openalex-snapshot
Automatic Discovery and Optimization of Parts for Image Classification
inferredcites →https://doi.org/10.48550/arxiv.1412.7062openalex-snapshot
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
inferredcites →https://doi.org/10.48550/arxiv.1412.7144openalex-snapshot
Fully Convolutional Multi-Class Multiple Instance Learning
inferredcites →https://doi.org/10.48550/arxiv.1502.02734openalex-snapshot
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1502.03044openalex-snapshot
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1605.06409openalex-snapshot
R-FCN: Object Detection via Region-based Fully Convolutional Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4681592openalex-extracted
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inferred← citeshttps://doi.org/10.1002/aisy.202300885openalex-snapshot
CAMEL2: Enhancing Weakly Supervised Learning for Histopathology Images by Incorporating the Significance Ratio
inferred← citeshttps://doi.org/10.1002/cpe.5699openalex-snapshot
Multimedia processing using deep learning technologies, high‐performance computing cloud resources, and Big Data volumes
inferred← citeshttps://doi.org/10.1002/int.22938openalex-snapshot
Object representation enhancement for self‐supervised colocalization
inferred← citeshttps://doi.org/10.1002/rob.21915openalex-snapshot
CoralSeg: Learning coral segmentation from sparse annotations
inferred← citeshttps://doi.org/10.1007/978-3-030-00889-5_3openalex-snapshot
Handling Missing Annotations for Semantic Segmentation with Deep ConvNets
inferred← citeshttps://doi.org/10.1007/978-3-030-01225-0_35openalex-snapshot
W-TALC: Weakly-Supervised Temporal Activity Localization and Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-01234-2_10openalex-snapshot
HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-01249-6_42openalex-snapshot
Does Haze Removal Help CNN-Based Image Classification?
inferred← citeshttps://doi.org/10.1007/978-3-030-01270-0_10openalex-snapshot
AutoLoc: Weakly-Supervised Temporal Action Localization in Untrimmed Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-01364-6_19openalex-snapshot
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-03338-5_43openalex-snapshot
Boosting Sparsity-Induced Autoencoder: A Novel Sparse Feature Ensemble Learning for Image Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-11012-3_53openalex-snapshot
Weakly Supervised Object Detection in Artworks
inferred← citeshttps://doi.org/10.1007/978-3-030-20351-1_36openalex-snapshot
Graph Convolutional Nets for Tool Presence Detection in Surgical Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-31321-0_26openalex-snapshot
A Weakly-Supervised Approach for Discovering Common Objects in Airport Video Surveillance Footage
inferred← citeshttps://doi.org/10.1007/978-3-030-31456-9_13openalex-snapshot
Weakly Supervised Learning of Image Emotion Analysis Based on Cross-spatial Pooling
inferred← citeshttps://doi.org/10.1007/978-3-030-32692-0_3openalex-snapshot
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
inferred← citeshttps://doi.org/10.1007/978-3-030-45099-1_18openalex-snapshot
Weakly Supervised Deep Learning for Objects Detection from Images
inferred← citeshttps://doi.org/10.1007/978-3-030-58529-7_17openalex-snapshot
Inter-Image Communication for Weakly Supervised Localization
inferred← citeshttps://doi.org/10.1007/978-3-030-58555-6_37openalex-snapshot
Rethinking Class Activation Mapping for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1007/978-3-030-58574-7_21openalex-snapshot
Weakly Supervised Semantic Segmentation with Boundary Exploration
inferred← citeshttps://doi.org/10.1007/978-3-030-58604-1_37openalex-snapshot
Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-59725-2_54openalex-snapshot
Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT
inferred← citeshttps://doi.org/10.1007/978-3-030-65414-6_30openalex-snapshot
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
inferred← citeshttps://doi.org/10.1007/978-3-030-69544-6_11openalex-snapshot
Multi-label X-Ray Imagery Classification via Bottom-Up Attention and Meta Fusion
inferred← citeshttps://doi.org/10.1007/978-3-030-74478-6_4openalex-snapshot
Beyond Full Supervision in Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-92185-9_21openalex-snapshot
Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing
inferred← citeshttps://doi.org/10.1007/978-3-030-93842-0_2openalex-snapshot
Refining Weakly-Supervised Free Space Estimation Through Data Augmentation and Recursive Training
inferred← citeshttps://doi.org/10.1007/978-3-031-16178-0_3openalex-snapshot
Holistic Features and Deep-Guided Depth-Induced Mutual-Attention-Based Complex Salient Object Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-16443-9_41openalex-snapshot
Weakly Supervised Volumetric Image Segmentation with Deformed Templates
inferred← citeshttps://doi.org/10.1007/978-3-031-17266-3_12openalex-snapshot
Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM
inferred← citeshttps://doi.org/10.1007/978-3-031-21014-3_38openalex-snapshot
TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-031-71602-7_17openalex-snapshot
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos
inferred← citeshttps://doi.org/10.1007/978-3-031-72920-1_14openalex-snapshot
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
inferred← citeshttps://doi.org/10.1007/978-3-031-73414-4_13openalex-snapshot
Modeling Label Correlations with Latent Context for Multi-label Recognition
inferred← citeshttps://doi.org/10.1007/978-3-319-97310-4_24openalex-snapshot
Weakly-Supervised Object Localization by Cutting Background with Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-319-99978-4_15openalex-snapshot
Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-15-3290-0_1openalex-snapshot
Self-taught Learning: Image Classification Using Stacked Autoencoders
inferred← citeshttps://doi.org/10.1007/978-981-15-8450-3_39openalex-snapshot
Application of Multi-network Fusion in Diagnosis of Chest Diseases
inferred← citeshttps://doi.org/10.1007/978-981-99-0085-5_45openalex-snapshot
CCL-Net: Complete Comprehensive Learning and Modality Preserving-Based RGBD Complex Salient Object Detection
inferred← citeshttps://doi.org/10.1007/s00371-022-02569-0openalex-snapshot
Learning indoor point cloud semantic segmentation from image-level labels
inferred← citeshttps://doi.org/10.1007/s00401-024-02789-9openalex-snapshot
Association of quantitative histopathology measurements with antemortem medial temporal lobe cortical thickness in the Alzheimer’s disease continuum
inferred← citeshttps://doi.org/10.1007/s00521-020-05257-zopenalex-snapshot
Spatial division networks for weakly supervised detection
inferred← citeshttps://doi.org/10.1007/s10044-024-01251-6openalex-snapshot
A weakly supervised end-to-end framework for semantic segmentation of cancerous area in whole slide image
inferred← citeshttps://doi.org/10.1007/s10453-022-09769-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10462-022-10212-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-022-03245-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10851-019-00882-3openalex-snapshot
A Novel Probabilistic Contrast-Based Complex Salient Object Detection
inferred← citeshttps://doi.org/10.1007/s10994-020-05943-yopenalex-snapshot
Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study
inferred← citeshttps://doi.org/10.1007/s11042-020-08644-9openalex-snapshot
A robust salient object detection using edge enhanced global topographical saliency
inferred← citeshttps://doi.org/10.1007/s11042-020-08787-9openalex-snapshot
Context propagation embedding network for weakly supervised semantic segmentation
inferred← citeshttps://doi.org/10.1007/s11042-022-12323-2openalex-snapshot
BAW: learning from class imbalance and noisy labels with batch adaptation weighted loss
inferred← citeshttps://doi.org/10.1007/s11042-022-12792-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-023-17260-2openalex-snapshot
Smoke semantic segmentation with multi-scale residual paths and weighted middle surveillances
inferred← citeshttps://doi.org/10.1007/s11063-019-09987-7openalex-snapshot
Inferring Personality Traits from Attentive Regions of User Liked Images Via Weakly Supervised Dual Convolutional Network
inferred← citeshttps://doi.org/10.1007/s11119-024-10187-0openalex-snapshot
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework
inferred← citeshttps://doi.org/10.1007/s11263-018-1109-zopenalex-snapshot
End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection
inferred← citeshttps://doi.org/10.1007/s11263-020-01373-4openalex-snapshot
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
inferred← citeshttps://doi.org/10.1007/s11263-020-01376-1openalex-snapshot
Beyond Covariance: SICE and Kernel Based Visual Feature Representation
inferred← citeshttps://doi.org/10.1007/s11263-020-01397-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11548-019-01958-6openalex-snapshot
Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos
inferred← citeshttps://doi.org/10.1007/s12652-018-0894-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109111openalex-snapshot
FCF: Feature complement fusion network for detecting COVID-19 through CT scan images
inferred← citeshttps://doi.org/10.1016/j.cag.2023.05.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2019.105268openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2021.106067openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2022.106839openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2022.107448openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compind.2020.103232openalex-snapshot
Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection
inferred← citeshttps://doi.org/10.1016/j.compind.2023.103921openalex-snapshot
Learning position information from attention: End-to-end weakly supervised crack segmentation with GANs
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2020.101846openalex-snapshot
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images
inferred← citeshttps://doi.org/10.1016/j.conbuildmat.2020.120291openalex-snapshot
Patch-based weakly supervised semantic segmentation network for crack detection
inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104615openalex-snapshot
A novel vision-based weakly supervised framework for autonomous yield estimation in agricultural applications
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110442openalex-snapshot
An uncertainty-based Collaborative Weakly Supervised Segmentation Network for Positron emission tomography-Computed tomography images
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111100openalex-snapshot
Weakly supervised histopathology tissue semantic segmentation with multi-scale voting and online noise suppression
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119809openalex-snapshot
CAM-CAN: Class activation map-based categorical adversarial network
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127425openalex-snapshot
GLMKD: Joint global and local mutual knowledge distillation for weakly supervised lesion segmentation in histopathology images
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.02.002openalex-snapshot
Destruction from sky: Weakly supervised approach for destruction detection in satellite imagery
inferred← citeshttps://doi.org/10.1016/j.jag.2023.103613openalex-snapshot
Identifying wind turbines from multiresolution and multibackground remote sensing imagery
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104085openalex-snapshot
A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images
inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.102789openalex-snapshot
Image understanding via learning weakly-supervised cross-modal semantic translation
inferred← citeshttps://doi.org/10.1016/j.media.2020.101846openalex-snapshot
Triple attention learning for classification of 14 thoracic diseases using chest radiography
inferred← citeshttps://doi.org/10.1016/j.media.2020.101908openalex-snapshot
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
inferred← citeshttps://doi.org/10.1016/j.media.2021.102118openalex-snapshot
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis
inferred← citeshttps://doi.org/10.1016/j.media.2021.102183openalex-snapshot
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images
inferred← citeshttps://doi.org/10.1016/j.media.2023.102803openalex-snapshot
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
inferred← citeshttps://doi.org/10.1016/j.media.2024.103344openalex-snapshot
A robust image segmentation and synthesis pipeline for histopathology
inferred← citeshttps://doi.org/10.1016/j.media.2025.103471openalex-snapshot
SAF-IS: A spatial annotation free framework for instance segmentation of surgical tools
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.11.019openalex-snapshot
Deep clustering for weakly-supervised semantic segmentation in autonomous driving scenes
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.02.093openalex-snapshot
Weakly supervised segmentation via instance-aware propagation
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.07.059openalex-snapshot
Learning frame-level affinity with video-level labels for weakly supervised temporal action detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2018.11.013openalex-snapshot
Perceptually-guided deep neural networks for ego-action prediction: Object grasping
inferred← citeshttps://doi.org/10.1016/j.patcog.2019.03.006openalex-snapshot
DELTA: A deep dual-stream network for multi-label image classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107811openalex-snapshot
Training deep retrieval models with noisy datasets: Bag exponential loss
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.107858openalex-snapshot
Weakly-supervised semantic segmentation with saliency and incremental supervision updating
inferred← citeshttps://doi.org/10.1016/j.patter.2020.100019openalex-snapshot
Cross-Modal Data Programming Enables Rapid Medical Machine Learning
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.108334openalex-snapshot
An image-level weakly supervised segmentation method for No-service rail surface defect with size prior
inferred← citeshttps://doi.org/10.1038/s41591-018-0147-yopenalex-snapshot
Automated deep-neural-network surveillance of cranial images for acute neurologic events
inferred← citeshttps://doi.org/10.1049/cvi2.12139openalex-snapshot
A fine‐to‐coarse‐to‐fine weakly supervised framework for volumetric SD‐OCT image segmentation
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.5484openalex-snapshot
Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing
inferred← citeshttps://doi.org/10.1080/01431161.2024.2334773openalex-snapshot
Location-aware multi-code generator for remote sensing scene classification
inferred← citeshttps://doi.org/10.1088/1757-899x/790/1/012146openalex-snapshot
An Improved Deep Neural Network Model Based on Searching Space Limitation for Object Localization
inferred← citeshttps://doi.org/10.1093/brain/awab262openalex-snapshot
Three-dimensional mapping of neurofibrillary tangle burden in the human medial temporal lobe
inferred← citeshttps://doi.org/10.1101/2021.01.15.421909openalex-snapshot
3D Mapping of Neurofibrillary Tangle Burden in the Human Medial Temporal Lobe
inferred← citeshttps://doi.org/10.1109/access.2019.2939267openalex-snapshot
Hide-CAM: Finding Multiple Discriminative Regions in Weakly Supervised Location
inferred← citeshttps://doi.org/10.1109/access.2019.2948062openalex-snapshot
Salient Object Detection: Integrate Salient Features in the Deep Learning Framework
inferred← citeshttps://doi.org/10.1109/access.2020.2968545openalex-snapshot
WALLACE: Weakly Supervised Learning of Deep Convolutional Neural Networks With Multiscale Evidence
inferred← citeshttps://doi.org/10.1109/access.2020.2999128openalex-snapshot
Multidimensional Extra Evidence Mining for Image Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/access.2020.3035707openalex-snapshot
Weakly-Supervised Semantic Segmentation With Regional Location Cutting and Dynamic Credible Regions Correction
inferred← citeshttps://doi.org/10.1109/access.2020.3040106openalex-snapshot
Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN
inferred← citeshttps://doi.org/10.1109/access.2020.3044446openalex-snapshot
Double Attention for Multi-Label Image Classification
inferred← citeshttps://doi.org/10.1109/access.2021.3049577openalex-snapshot
CAMV: Class Activation Mapping Value Towards Open Set Fine-Grained Recognition
inferred← citeshttps://doi.org/10.1109/access.2021.3086892openalex-snapshot
Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2022.3231293openalex-snapshot
WSRC: Weakly Supervised Faster RCNN Toward Accurate Traffic Object Detection
inferred← citeshttps://doi.org/10.1109/apsipaasc47483.2019.9023037openalex-snapshot
Small-Sample Image Classification Method of Combining Prototype and Margin Learning
inferred← citeshttps://doi.org/10.1109/bibe63649.2024.10820480openalex-snapshot
Efficient Whole Slide Image Classification Through Fisher Vector Representation
inferred← citeshttps://doi.org/10.1109/biocas54905.2022.9948661openalex-snapshot
Evaluations of Deep Learning Methods for Pathology Image Classification
inferred← citeshttps://doi.org/10.1109/cac.2018.8623227openalex-snapshot
Feature Fusion for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/cbms58004.2023.00259openalex-snapshot
Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI
inferred← citeshttps://doi.org/10.1109/cec65147.2025.11043093openalex-snapshot
Joint Attention Mechanism and Multi-task Learning for Weakly Supervised Skin Image Segmentation
inferred← citeshttps://doi.org/10.1109/crv.2018.00042openalex-snapshot
Disparity Filtering with 3D Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00139openalex-snapshot
Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00147openalex-snapshot
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00154openalex-snapshot
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00399openalex-snapshot
Weakly Supervised Instance Segmentation Using Class Peak Response
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00419openalex-snapshot
Finding Beans in Burgers: Deep Semantic-Visual Embedding with Localization
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00791openalex-snapshot
Weakly Supervised Coupled Networks for Visual Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00074openalex-snapshot
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00209openalex-snapshot
MUREL: Multimodal Relational Reasoning for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00222openalex-snapshot
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00231openalex-snapshot
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00232openalex-snapshot
Attention-Based Dropout Layer for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00315openalex-snapshot
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01105openalex-snapshot
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01232openalex-snapshot
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00879openalex-snapshot
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01273openalex-snapshot
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01153openalex-snapshot
An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02274openalex-snapshot
Vision Transformers are Good Mask Auto-Labelers
inferred← citeshttps://doi.org/10.1109/cvprw.2018.00145openalex-snapshot
Minimizing Supervision for Free-Space Segmentation
inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00018openalex-snapshot
Minimizing Supervision in Multi-label Categorization
inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00461openalex-snapshot
Pose-Guided Knowledge Transfer for Object Part Segmentation
inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00479openalex-snapshot
ViSeR: Visual Self-Regularization
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00276openalex-snapshot
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
inferred← citeshttps://doi.org/10.1109/embc44109.2020.9176617openalex-snapshot
Weakly-Supervised Self-Training for Breast Cancer Localization
inferred← citeshttps://doi.org/10.1109/fg59268.2024.10582016openalex-snapshot
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
inferred← citeshttps://doi.org/10.1109/icassp.2019.8683665openalex-snapshot
Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification
inferred← citeshttps://doi.org/10.1109/iccv.2019.00344openalex-snapshot
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
inferred← citeshttps://doi.org/10.1109/iccv.2019.00669openalex-snapshot
DANet: Divergent Activation for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/iccv.2019.00858openalex-snapshot
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
inferred← citeshttps://doi.org/10.1109/iccv.2019.00983openalex-snapshot
Weakly Supervised Object Detection With Segmentation Collaboration
inferred← citeshttps://doi.org/10.1109/iccv.2019.01078openalex-snapshot
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00023openalex-snapshot
Transformer-based Dual Relation Graph for Multi-label Image Recognition
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00025openalex-snapshot
Residual Attention: A Simple but Effective Method for Multi-Label Recognition
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00339openalex-snapshot
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00715openalex-snapshot
Complementary Patch for Weakly Supervised Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00824openalex-snapshot
Keep CALM and Improve Visual Feature Attribution
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00836openalex-snapshot
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00121openalex-snapshot
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01631openalex-snapshot
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
inferred← citeshttps://doi.org/10.1109/iccvw.2017.164openalex-snapshot
Adaptive Binarization for Weakly Supervised Affordance Segmentation
inferred← citeshttps://doi.org/10.1109/iccvw.2017.29openalex-snapshot
Distantly Supervised Road Segmentation
inferred← citeshttps://doi.org/10.1109/iccvw.2019.00549openalex-snapshot
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/icdl55364.2023.10364481openalex-snapshot
Leg Transmission Mechanism for Enhanced Load-Carrying Capacity: Knee Joint Torque Optimization Design
inferred← citeshttps://doi.org/10.1109/iceic51217.2021.9369721openalex-snapshot
CCC: Weakly Supervised Semantic Segmentation using Class Contribution Classification
inferred← citeshttps://doi.org/10.1109/icgmrs55602.2022.9849372openalex-snapshot
A Weakly Supervised Landslide Extraction Method from Remote Sensing Images Using Deep Attention and Multi-feature Fusion
inferred← citeshttps://doi.org/10.1109/icip.2018.8451092openalex-snapshot
Shade: Information-Based Regularization for Deep Learning
inferred← citeshttps://doi.org/10.1109/icip.2019.8803793openalex-snapshot
A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/icip40778.2020.9190907openalex-snapshot
Weakly-Supervised Defect Segmentation Within Visual Inspection Images of Liquid Crystal Displays in Array Process
inferred← citeshttps://doi.org/10.1109/iciprob69625.2026.11497834openalex-snapshot
Accurate 3D Object Detection with Minimal Labels: A CAM-Guided Weak Supervision Strategy
inferred← citeshttps://doi.org/10.1109/icmcce.2018.00115openalex-snapshot
A Variant of WSL Framework For Weakly Supervised Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/icme.2018.8486593openalex-snapshot
SFCM: Learn a Pooling Kernel for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/icme51207.2021.9428190openalex-snapshot
Weakly-Supervised Attribute Segmentation
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412088openalex-snapshot
Learn to Segment Retinal Lesions and Beyond
inferred← citeshttps://doi.org/10.1109/icra.2019.8794112openalex-snapshot
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
inferred← citeshttps://doi.org/10.1109/icsp56322.2022.9965331openalex-snapshot
Multi-Instance Classification of Histopathological Breast Cancer Images with Visual Explanation
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534034openalex-snapshot
Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892121openalex-snapshot
Exploring Pixel Alignment on Shallow Feature for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/iros.2018.8594185openalex-snapshot
Semantic Segmentation from Sparse Labeling Using Multi-Level Superpixels
inferred← citeshttps://doi.org/10.1109/isbi45749.2020.9098462openalex-snapshot
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe
inferred← citeshttps://doi.org/10.1109/isbi45749.2020.9098567openalex-snapshot
Weakly-Supervised Balanced Attention Network for Gastric Pathology Image Localization and Classification
inferred← citeshttps://doi.org/10.1109/isbi48211.2021.9433836openalex-snapshot
Deep Fisher Vector Coding For Whole Slide Image Classification
inferred← citeshttps://doi.org/10.1109/iske47853.2019.9170207openalex-snapshot
Mutual Constraint Learning for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/itaic.2019.8785431openalex-snapshot
Diagnose Chest Pathology in X-ray Images by Learning Multi-Attention Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/jbhi.2019.2928369openalex-snapshot
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
inferred← citeshttps://doi.org/10.1109/jbhi.2020.2999588openalex-snapshot
MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images
inferred← citeshttps://doi.org/10.1109/jbhi.2021.3061457openalex-snapshot
Self-Learning for Weakly Supervised Gleason Grading of Local Patterns
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3322387openalex-snapshot
Cross-Scale Fusion Transformer for Histopathological Image Classification
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3324333openalex-snapshot
An Improved COVID-19 Classification Model on Chest Radiography by Dual-Ended Multiple Attention Learning
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3426068openalex-snapshot
SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease
inferred← citeshttps://doi.org/10.1109/jiot.2023.3315142openalex-snapshot
MDGAN-TPAMDPN-Net: A Self-Sufficient and Calibrated Network for Radar Emitter Identification
inferred← citeshttps://doi.org/10.1109/jstars.2021.3137450openalex-snapshot
MSG-SR-Net: A Weakly Supervised Network Integrating Multiscale Generation and Superpixel Refinement for Building Extraction From High-Resolution Remotely Sensed Imageries
inferred← citeshttps://doi.org/10.1109/jstars.2023.3279863openalex-snapshot
A Siamese Network Combining Multiscale Joint Supervision and Improved Consistency Regularization for Weakly Supervised Building Change Detection
inferred← citeshttps://doi.org/10.1109/jstsp.2020.3001502openalex-snapshot
BB-UNet: U-Net With Bounding Box Prior
inferred← citeshttps://doi.org/10.1109/lra.2019.2903260openalex-snapshot
Weakly Supervised Fruit Counting for Yield Estimation Using Spatial Consistency
inferred← citeshttps://doi.org/10.1109/lra.2022.3193463openalex-snapshot
Striving for Less: Minimally-Supervised Pseudo-Label Generation for Monocular Road Segmentation
inferred← citeshttps://doi.org/10.1109/prai55851.2022.9904160openalex-snapshot
Cognitive Visual Inspection Service for LCD Manufacturing Industry
inferred← citeshttps://doi.org/10.1109/smc42975.2020.9283299openalex-snapshot
Research on Plant Disease Recognition Based on Deep Complementary Feature Classification Network
inferred← citeshttps://doi.org/10.1109/tcsvt.2019.2962073openalex-snapshot
Weakly Supervised Semantic Segmentation by a Class-Level Multiple Group Cosegmentation and Foreground Fusion Strategy
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3268997openalex-snapshot
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition
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