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Weakly Supervised Object Localization with Progressive Domain Adaptation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_28openalex-snapshot
Weakly Supervised Object Localization with Latent Category Learning
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_26openalex-snapshot
Edge Boxes: Locating Object Proposals from Edges
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_25openalex-snapshot
Diagnosing Error in Object Detectors
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_43openalex-snapshot
In Defence of Negative Mining for Annotating Weakly Labelled Data
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s11263-012-0538-3openalex-snapshot
Weakly Supervised Localization and Learning with Generic Knowledge
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/10.1109/cvpr.2008.4587468openalex-snapshot
Progressive search space reduction for human pose estimation
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2011.5995523openalex-snapshot
Learning the easy things first: Self-paced visual category discovery
inferredcites →https://doi.org/10.1109/cvpr.2012.6248070openalex-snapshot
Learning to localize detected objects
inferredcites →https://doi.org/10.1109/cvpr.2013.115openalex-snapshot
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images
inferredcites →https://doi.org/10.1109/cvpr.2013.308openalex-snapshot
Self-Paced Learning for Long-Term Tracking
inferredcites →https://doi.org/10.1109/cvpr.2013.416openalex-snapshot
Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection
inferredcites →https://doi.org/10.1109/cvpr.2014.309openalex-snapshot
Multi-fold MIL Training for Weakly Supervised Object Localization
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.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298621openalex-snapshot
Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction
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.2015.7298711openalex-snapshot
Weakly supervised object detection with convex clustering
inferredcites →https://doi.org/10.1109/cvpr.2015.7298854openalex-snapshot
DeepID-Net: Deformable deep convolutional neural networks for object detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7298906openalex-snapshot
Detector discovery in the wild: Joint multiple instance and representation learning
inferredcites →https://doi.org/10.1109/cvpr.2015.7298968openalex-snapshot
Deep multiple instance learning for image classification and auto-annotation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299060openalex-snapshot
Weakly supervised localization of novel objects using appearance transfer
inferredcites →https://doi.org/10.1109/iccv.2009.5459266openalex-snapshot
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation
inferredcites →https://doi.org/10.1109/iccv.2011.6126261openalex-snapshot
Weakly supervised object detector learning with model drift detection
inferredcites →https://doi.org/10.1109/iccv.2013.371openalex-snapshot
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation
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.2015.2491929openalex-snapshot
HCP: A Flexible CNN Framework for Multi-Label Image Classification
inferredcites →https://doi.org/10.1109/wacv.2016.7477688openalex-snapshot
Self-taught object localization with deep networks
inferredcites →https://doi.org/10.1145/2185520.2185597openalex-snapshot
What makes Paris look like Paris?
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.48550/arxiv.1406.6507openalex-snapshot
Weakly-supervised Discovery of Visual Pattern Configurations
inferredcites →https://doi.org/10.48550/arxiv.1407.5035openalex-snapshot
LSDA: Large Scale Detection Through Adaptation
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.1409.3505openalex-snapshot
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
inferredcites →https://doi.org/10.48550/arxiv.1412.6596openalex-snapshot
Training Deep Neural Networks on Noisy Labels with Bootstrapping
inferredcites →https://doi.org/10.5244/c.26.78openalex-snapshot
Transfer Learning by Ranking for Weakly Supervised Object Annotation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ML-LocNet: Improving Object Localization with Multi-view Learning Network
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W-TALC: Weakly-Supervised Temporal Activity Localization and Classification
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C-WSL: Count-Guided Weakly Supervised Localization
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Weakly Supervised Region Proposal Network and Object Detection
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TS$$^{2}$$C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
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Weakly Supervised Object Detection in Artworks
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Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection
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Fast Object Localization via Sensitivity Analysis
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ProgressFace: Scale-Aware Progressive Learning for Face Detection
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Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification
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Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
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Enabling Deep Residual Networks for Weakly Supervised Object Detection
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Fully vs. Weakly Supervised Caries Localization in Smartphone Images with CNNs
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W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection
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End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution
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Robust Object Detection with Inaccurate Bounding Boxes
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Machine Learning—Basic Unsupervised Methods (Cluster Analysis Methods, t-SNE)
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Weakly Supervised Information Extraction from Inscrutable Handwritten Document Images
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Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints
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Weakly-Supervised Object Localization by Cutting Background with Deep Reinforcement Learning
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EFF-ViT: A Vision Transformer with Feature Enhancement and Fusion for Fine-Grained Visual Classification
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Object detection based on semi-supervised domain adaptation for imbalanced domain resources
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R-CCF: region-aware continual contrastive fusion for weakly supervised object detection
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Weakly supervised temporal action localization: a survey
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Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization
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Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework
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Learning to Detect Semantic Boundaries with Image-Level Class Labels
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Cartoon Image Processing: A Survey
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Towards Generalized UAV Object Detection: A Novel Perspective from Frequency Domain Disentanglement
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Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection
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Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
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Learning robust correlation with foundation model for weakly-supervised few-shot segmentation
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Misalignment-resistant domain adaptive learning for one-stage object detection
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Refinedbox: Refining for fewer and high-quality object proposals
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Weakly-supervised object detection via mining pseudo ground truth bounding-boxes
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Scalable logo detection by self co-learning
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Unsupervised object-level video summarization with online motion auto-encoder
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Triple critical feature capture network: A triple critical feature capture network for weakly supervised object detection
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Category‐wise feature extractor based on ADL method for weak‐supervised object localisation
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Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection With Meta-Learning
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Hide-CAM: Finding Multiple Discriminative Regions in Weakly Supervised Location
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Weakly Supervised Object Detection Using Complementary Learning and Instance Clustering
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A Robust Context-Aware Proposal Refinement Method for Weakly Supervised Object Detection
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WSRC: Weakly Supervised Faster RCNN Toward Accurate Traffic Object Detection
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ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization
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Survey of weakly supervised semantic segmentation methods
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Weakly-supervised vehicle detection and classification by convolutional neural network
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Multiple Instance Detection Network with Online Instance Classifier Refinement
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Deep Self-Taught Learning for Weakly Supervised Object Localization
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Weakly Supervised Cascaded Convolutional Networks
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Variational Bayesian Multiple Instance Learning with Gaussian Processes
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Generative Adversarial Learning Towards Fast Weakly Supervised Detection
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Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
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C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
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Attention-Based Dropout Layer for Weakly Supervised Object Localization
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Dissimilarity Coefficient Based Weakly Supervised Object Detection
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DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data
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Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
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Noise-Aware Fully Webly Supervised Object Detection
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SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection
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Domain-Specific Suppression for Adaptive Object Detection
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Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation
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ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
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Iterative Proposal Refinement for Weakly-Supervised Video Grounding
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Coaching a Teachable Student
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What Can Human Sketches Do for Object Detection?
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PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification
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Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
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Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
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Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks
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Distilling Knowledge from Refinement in Multiple Instance Detection Networks
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BAOD: Budget-Aware Object Detection
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Enriching the Multi-Object Detection using Convolutional Neural Network in Macro-Image
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Weakly Supervised Traffic Sign Detection in Real Time Using Single CNN Architecture for Multiple Purposes
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Local Context-Aware for Weakly Supervised Object Detection
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PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN
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Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
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Scaling Object Detection by Transferring Classification Weights
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Object-Aware Instance Labeling for Weakly Supervised Object Detection
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Towards Precise End-to-End Weakly Supervised Object Detection Network
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Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
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Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision
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MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
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CaT: Weakly Supervised Object Detection with Category Transfer
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Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation
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Lightweight Image Super-Resolution with Superpixel Token Interaction
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WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web
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Temporal Convolutional Network with Complementary Inner Bag Loss for Weakly Supervised Anomaly Detection
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Looc: Localize Overlapping Objects with Count Supervision
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A Pedestrian Detection Method Using Background Modeling and Object Proposal
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RMSOD: A RetinaNet based Mixed Supervised Object Detection Framework
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Classification Weight Imprinting for Data Efficient Object Detection
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A Scalable Data Augmentation and Training Pipeline for Logo Detection
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PistonNet: Object Separating From Background by Attention for Weakly Supervised Ship Detection
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Motion Context Network for Weakly Supervised Object Detection in Videos
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Weakly Supervised Character Detection for License Plate Recognition
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Rare Chinese character recognition by Radical Extraction Network
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Weak to Strong Detector Learning for Simultaneous Classification and Localization
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Learning Object Detectors With Semi-Annotated Weak Labels
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CBASH: Combined Backbone and Advanced Selection Heads With Object Semantic Proposals for Weakly Supervised Object Detection
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Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection
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Learning Local Semantic Region Activations for Weakly Supervised Object Localization
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Weakly Supervised Object Detection for Aerial Images With Instance-Aware Label Assignment
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Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images
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TCANet: Triple Context-Aware Network for Weakly Supervised Object Detection in Remote Sensing Images
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SAENet: Self-Supervised Adversarial and Equivariant Network for Weakly Supervised Object Detection in Remote Sensing Images
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Multiple Instance Graph Learning for Weakly Supervised Remote Sensing Object Detection
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Robust ImageGraph: Rank-Level Feature Fusion for Image Search
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Simultaneously Discovering and Localizing Common Objects in Wild Images
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Backtracking Spatial Pyramid Pooling-Based Image Classifier for Weakly Supervised Top–Down Salient Object Detection
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Deep Ordinal Hashing With Spatial Attention
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Weakly Supervised Salient Object Detection by Learning A Classifier-Driven Map Generator
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Category-Aware Spatial Constraint for Weakly Supervised Detection
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Progressive Object Transfer Detection
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PML-LocNet: Improving Object Localization With Prior-Induced Multi-View Learning Network
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High-Quality Proposals for Weakly Supervised Object Detection
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Pyramidal Multiple Instance Detection Network With Mask Guided Self-Correction for Weakly Supervised Object Detection
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LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
inferred← citeshttps://doi.org/10.1109/tip.2022.3216772openalex-snapshot
Contrastive Proposal Extension With LSTM Network for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/tiv.2020.2980671openalex-snapshot
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tmm.2018.2875597openalex-snapshot
Exploiting Web Images for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/tmm.2021.3125130openalex-snapshot
Multiple Instance Detection Networks With Adaptive Instance Refinement
inferred← citeshttps://doi.org/10.1109/tmm.2025.3618564openalex-snapshot
Learning Efficient and Adaptive Cross-Channel Dependencies for Weakly-Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/tmm.2026.3651135openalex-snapshot
Counterfactual Co-Occurring Learning for Bias Mitigation in Weakly-Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/tnnls.2018.2869601openalex-snapshot
Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search
inferred← citeshttps://doi.org/10.1109/tnnls.2020.2969483openalex-snapshot
From Discriminant to Complete: Reinforcement Searching-Agent Learning for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3070801openalex-snapshot
Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/tpami.2017.2707492openalex-snapshot
Sequential Optimization for Efficient High-Quality Object Proposal Generation
inferred← citeshttps://doi.org/10.1109/tpami.2018.2804907openalex-snapshot
Self Paced Deep Learning for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/tpami.2018.2810288openalex-snapshot
Mixed Supervised Object Detection with Robust Objectness Transfer
inferred← citeshttps://doi.org/10.1109/tpami.2018.2844853openalex-snapshot
Few-Example Object Detection with Model Communication
inferred← citeshttps://doi.org/10.1109/tpami.2018.2876304openalex-snapshot
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/tpami.2019.2898858openalex-snapshot
Min-Entropy Latent Model for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/tpami.2019.2899839openalex-snapshot
Progressive Representation Adaptation for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/tpami.2020.2999099openalex-snapshot
Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2020.3046647openalex-snapshot
Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relationships
inferred← citeshttps://doi.org/10.1109/tpami.2021.3074313openalex-snapshot
Weakly Supervised Object Localization and Detection: A Survey
inferred← citeshttps://doi.org/10.1109/tpami.2022.3199617openalex-snapshot
A Survey of Self-Supervised and Few-Shot Object Detection
inferred← citeshttps://doi.org/10.1109/wacv.2018.00169openalex-snapshot
Segmentation and Shape Extraction from Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00590openalex-snapshot
Single Stage Weakly Supervised Semantic Segmentation of Complex Scenes
inferred← citeshttps://doi.org/10.1117/1.jei.28.3.033012openalex-snapshot
Weakly supervised semantic segmentation for optic disc of fundus image
inferred← citeshttps://doi.org/10.1145/3123266.3123455openalex-snapshot
A Dual-Network Progressive Approach to Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1145/3293353.3293367openalex-snapshot
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset
inferred← citeshttps://doi.org/10.1145/3394171.3413835openalex-snapshot
Objectness Consistent Representation for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1145/3503161.3547901openalex-snapshot
Eliminating Spatial Ambiguity for Weakly Supervised 3D Object Detection without Spatial Labels
inferred← citeshttps://doi.org/10.1145/3664647.3680960openalex-snapshot
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
inferred← citeshttps://doi.org/10.13016/m2vb3q-medaopenalex-snapshot
Weakly Supervised Cascaded Convolutional Networks
inferred← citeshttps://doi.org/10.1360/ssi-2021-0089openalex-snapshot
A weakly supervised object detection approach using point annotation
inferred← citeshttps://doi.org/10.1609/aaai.v32i1.11716openalex-snapshot
LSTD: A Low-Shot Transfer Detector for Object Detection
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33019219openalex-snapshot
Learning to Localize Objects with Noisy Labeled Instances
inferred← citeshttps://doi.org/10.1609/aaai.v34i07.6707openalex-snapshot
EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement
inferred← citeshttps://doi.org/10.1609/aaai.v35i2.16261openalex-snapshot
GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates
inferred← citeshttps://doi.org/10.18535/ijecs/v11i02.4650openalex-snapshot
Strong Representation Learning for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.18653/v1/d19-1157openalex-snapshot
WSLLN:Weakly Supervised Natural Language Localization Networks
inferred← citeshttps://doi.org/10.23919/eusipco.2018.8553439openalex-snapshot
Towards Automatic Detection of Animals in Camera-Trap Images
inferred← citeshttps://doi.org/10.24963/ijcai.2017/285openalex-snapshot
Saliency Guided End-to-End Learning for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.24963/ijcai.2018/135openalex-snapshot
Collaborative Learning for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.32657/10356/107566openalex-snapshot
Deep learning for visual recognition at pixel, object, and image levels
inferred← citeshttps://doi.org/10.32657/10356/144136openalex-snapshot
Deep neural networks based visual object detection in videos
inferred← citeshttps://doi.org/10.32657/10356/146898openalex-snapshot
Common visual pattern discovery and analysis
inferred← citeshttps://doi.org/10.32657/10356/151507openalex-snapshot
Learning to recognize objects by adaptive knowledge transfer
inferred← citeshttps://doi.org/10.3390/electronics12132758openalex-snapshot
High-Quality Instance Mining and Dynamic Label Assignment for Weakly Supervised Object Detection in Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/electronics9060955openalex-snapshot
A Two-Branch Network for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.3390/rs13245065openalex-snapshot
Semi-Autonomous Learning Algorithm for Remote Image Object Detection Based on Aggregation Area Instance Refinement
inferred← citeshttps://doi.org/10.35940/ijrte.a5589.0510121openalex-snapshot
Sports Video Annotation and Multi-Target Tracking using Extended Gaussian Mixture model
inferred← citeshttps://doi.org/10.48550/arxiv.1607.04731openalex-snapshot
Weakly supervised object detection using pseudo-strong labels
inferred← citeshttps://doi.org/10.48550/arxiv.1612.02766openalex-snapshot
Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1701.05616openalex-snapshot
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
inferred← citeshttps://doi.org/10.48550/arxiv.1702.08740openalex-snapshot
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm
inferred← citeshttps://doi.org/10.48550/arxiv.1706.01237openalex-snapshot
Learning Structured Semantic Embeddings for Visual Recognition
inferred← citeshttps://doi.org/10.48550/arxiv.1803.11417openalex-snapshot
Scalable Deep Learning Logo Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1810.00609openalex-snapshot
One-Click Annotation with Guided Hierarchical Object Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1902.06057openalex-snapshot
Min-Entropy Latent Model for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1904.02317openalex-snapshot
Comparison Network for One-Shot Conditional Object Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1908.03792openalex-snapshot
Object-Aware Instance Labeling for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1909.00239openalex-snapshot
WSLLN: Weakly Supervised Natural Language Localization Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1909.10698openalex-snapshot
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization
inferred← citeshttps://doi.org/10.48550/arxiv.1911.11512openalex-snapshot
WSOD with PSNet and Box Regression
inferred← citeshttps://doi.org/10.48550/arxiv.2010.11724openalex-snapshot
LID 2020: The Learning from Imperfect Data Challenge Results
inferred← citeshttps://doi.org/10.48550/arxiv.2105.12694openalex-snapshot
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2106.10309openalex-snapshot
Towards Single Stage Weakly Supervised Semantic Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.2110.09060openalex-snapshot
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.5120/ijca2020919900openalex-snapshot
Study of Entity Detection and Identification using Deep Learning Techniques a Survey
inferred← citeshttps://doi.org/10.5244/c.31.36openalex-snapshot
Object-Extent Pooling for Weakly Supervised Single-Shot Localization
inferred← citeshttps://doi.org/10.54097/zq0zbx10openalex-snapshot
FAFMNet: A Lightweight Super-Resolution Network via Frequency-Aware and Multi-Scope Feature Fusion
inferred← citeshttps://doi.org/10.54337/aau468596652openalex-snapshot
Computer Vision-based Monitoring of Harvest Quality
inferred← citeshttps://doi.org/10.57784/1992/35045openalex-snapshot
BAOD : Budget-Aware Object Detection
inferred← citeshttps://doi.org/10.70675/9abc66b4zca61z423bz85dcz07b849b15209openalex-snapshot
Transfer learning of convolutional neural networks for texture synthesis and visual recognition in artistic images
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