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Weakly Supervised Cascaded Convolutional Networks

https://doi.org/10.1109/cvpr.2017.545

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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/10.1007/978-3-319-10599-4_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/10.1007/978-3-319-46478-7_34openalex-snapshot

What’s the Point: Semantic Segmentation with Point Supervision

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_33openalex-snapshot

Localizing Objects While Learning Their Appearance

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/s11263-013-0620-5openalex-snapshot

Selective Search for Object Recognition

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2010.5540226openalex-snapshot

What is an object?

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.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.2016.319openalex-snapshot

Learning Deep Features for Discriminative Localization

inferredcites →https://doi.org/10.1109/cvpr.2016.382openalex-snapshot

Weakly Supervised Object Localization with Progressive Domain Adaptation

inferredcites →https://doi.org/10.1109/iccv.2009.5459426openalex-snapshot

Weakly supervised discriminative localization and classification: a joint learning process

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.2011.6126383openalex-snapshot

Scene recognition and weakly supervised object localization with deformable part-based models

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.2015.296openalex-snapshot

DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers

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.2016.2535231openalex-snapshot

Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning

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/10.1109/wacv.2016.7477688openalex-snapshot

Self-taught object localization with deep networks

inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot

Caffe

inferredcites →https://doi.org/10.1145/2733373.2807412openalex-snapshot

MatConvNet

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.21236/ada507101openalex-snapshot

Weakly Supervised Discriminative Localization and Classification: A Joint Learning Process

inferredcites →https://doi.org/10.48550/arxiv.1206.6413openalex-snapshot

A Convex Relaxation for Weakly Supervised Classifiers

inferredcites →https://doi.org/10.48550/arxiv.1406.2080openalex-snapshot

Training Convolutional Networks with Noisy Labels

inferredcites →https://doi.org/10.48550/arxiv.1406.6507openalex-snapshot

Weakly-supervised Discovery of Visual Pattern Configurations

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.1412.6596openalex-snapshot

Training Deep Neural Networks on Noisy Labels with Bootstrapping

What points at this work

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

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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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Self-produced Guidance for Weakly-Supervised Object Localization

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Active Learning Strategies for Weakly-Supervised Object Detection

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End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution

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Point-to-Box Network for Accurate Object Detection via Single Point Supervision

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Robust Object Detection with Inaccurate Bounding Boxes

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Weakly Supervised Learning of Instance Segmentation with Confidence Feedback

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Local-to-Global Point Supervised Object Detector via Aggregation of Discriminative Parts

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GaLNet: Weakly-Supervised Learning for Evidence-Based Tumor Grading and Localization in MR Imaging

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Instance-Dependent Noise Refinement in Segment Anything Model for Weakly Supervised Object Detection

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Robust Pipeline for Detection of Adversarial Images

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Spatial division networks for weakly supervised detection

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Recurrent self-optimizing proposals for weakly supervised object detection

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Quality over quantity: a data-centric survey of annotation errors in object detection datasets

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IDO: Instance dual-optimization for weakly supervised object detection

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R-CCF: region-aware continual contrastive fusion for weakly supervised object detection

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Fine-grained label learning in object detection with weak supervision of captions

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Inferring Personality Traits from Attentive Regions of User Liked Images Via Weakly Supervised Dual Convolutional Network

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Weakly Supervised Object Detection Based on Active Learning

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Cascade Attentive Dropout for Weakly Supervised Object Detection

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Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework

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Deep Learning for Generic Object Detection: A Survey

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Weakly Supervised Group Mask Network for Object Detection

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P2Object: Single Point Supervised Object Detection and Instance Segmentation

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Weakly- and Semi-Supervised Fast Region-Based CNN for Object Detection

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DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images

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Applications of machine learning for COVID-19 misinformation: a systematic review

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End-to-end Point Supervised Object Detection with low-level instance features

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Coarse-to-fine segmentation for indoor scenes with progressive supervision

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Sparse weakly supervised models for object localization in road environment

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Residual attention unit for action recognition

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A progressive learning framework based on single-instance annotation for weakly supervised 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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Hierarchical complementary learning for weakly supervised object localization

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Spatial likelihood voting with self-knowledge distillation for weakly supervised object detection

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Transfer learning for vehicle detection using two cameras with different focal lengths

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Pseudo-label enhancement for weakly supervised object detection using self-supervised vision transformer

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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

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Deep clustering for weakly-supervised semantic segmentation in autonomous driving scenes

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WSODPB: Weakly supervised object detection with PCSNet and box regression module

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Dynamic proposal sampling for weakly supervised object detection

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Adaptive attention augmentor for weakly supervised object localization

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Salient instance segmentation with region and box-level annotations

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Enhanced Attention Guided Teacher–Student Network for Weakly Supervised Object Detection

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Perceptually-guided deep neural networks for ego-action prediction: Object grasping

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Training deep retrieval models with noisy datasets: Bag exponential loss

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Region-based dropout with attention prior for weakly supervised object localization

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Discrepant multiple instance learning for weakly supervised object detection

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Deep learning based online metallic surface defect detection method for wire and arc additive manufacturing

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Significant feature suppression and cross-feature fusion networks for fine-grained visual classification

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Triple critical feature capture network: A triple critical feature capture network for weakly supervised object detection

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Multi-view contextual adaptation network for weakly supervised object detection in remote sensing images

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Multi-instance mining with dynamic localization for weakly supervised object detection in remote-sensing images

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Robust Object Detection and Localization Using Semantic Segmentation Network

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Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection With Meta-Learning

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A Survey of Deep Learning-Based Object Detection

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A Robust Context-Aware Proposal Refinement Method for Weakly Supervised Object Detection

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Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN

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Real-Time Weakly Supervised Object Detection Using Center-of-Features Localization

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Efficient Weakly-Supervised Object Detection With Pseudo Annotations

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Application of YOLOv5m Network Based on Deep Learning in Aquaculture Detection

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P2W: Improving the Cognition of Object Wholeness for Weakly Supervised Object Detection

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Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

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Min-Entropy Latent Model for Weakly Supervised Object Detection

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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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Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification

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SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images

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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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Activity Driven Weakly Supervised Object Detection

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Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up

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Dissimilarity Coefficient Based Weakly Supervised Object Detection

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METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos

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Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization

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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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Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection

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SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection

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Incremental Few-Shot Object Detection

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Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection

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UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation

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Unsupervised Object Detection with LiDAR Clues

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What Can Human Sketches Do for Object Detection?

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Weak-shot Object Detection through Mutual Knowledge Transfer

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Semi-Weakly Supervised Object Kinematic Motion Prediction

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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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Rethinking Segmentation Guidance for Weakly Supervised Object Detection

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Weakly-Supervised Action Detection Guided by Audio Narration

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Multiple Instance Learning for Visual Grain Quality Analysis Without Instance-Level Annotation

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Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks

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KALM: Key Area Localization Mechanism for Abnormality Detection in Musculoskeletal Radiographs

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Local Context-Aware for Weakly Supervised Object Detection

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Weakly Supervised Summarization of Web Videos

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Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation

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SILCO: Show a Few Images, Localize the Common Object

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Object-Aware Instance Labeling for Weakly Supervised Object Detection

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DANet: Divergent Activation for Weakly Supervised Object Localization

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WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection

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Towards Precise End-to-End Weakly Supervised Object Detection Network

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Few-Shot Object Detection via Feature Reweighting

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Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection

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Weakly Supervised Object Detection With Segmentation Collaboration

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C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection

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Meta-Learning to Detect Rare Objects

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Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes

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Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection

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Classifier Refinement for Weakly Supervised Object Detection with Class-Specific Activation Map

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Cascaded Mixed-Precision Networks

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Hierarchical Region Proposal Refinement Network for Weakly Supervised Object Detection

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Class Activation Map Refinement via Semantic Affinity Exploration for Weakly Supervised Object Detection

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Weakly Supervised Object Detection Framework based on Classification-Localization Consistency

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ODE-CF: An Ordinary Differential Equation Cascaded Fusion Model for Chinese Named Entity Recognition

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Weakly- and Semi-supervised Faster R-CNN with Curriculum Learning

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412029openalex-snapshot

Convolutional STN for Weakly Supervised Object Localization

inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207099openalex-snapshot

Weakly Supervised Object Localization Using Self-Paced Pyramid Adversarial Learning

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9891933openalex-snapshot

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892186openalex-snapshot

Facial Expression Recognition of Animated Characters using Deep Learning

inferred← citeshttps://doi.org/10.1109/indicon56171.2022.10039939openalex-snapshot

RMSOD: A RetinaNet based Mixed Supervised Object Detection Framework

inferred← citeshttps://doi.org/10.1109/isie45552.2021.9576432openalex-snapshot

Classification Weight Imprinting for Data Efficient Object Detection

inferred← citeshttps://doi.org/10.1109/iske47853.2019.9170207openalex-snapshot

Mutual Constraint Learning for Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/jproc.2023.3238524openalex-snapshot

Object Detection in 20 Years: A Survey

inferred← citeshttps://doi.org/10.1109/jstars.2021.3078631openalex-snapshot

Land-Use Mapping for High-Spatial Resolution Remote Sensing Image Via Deep Learning: A Review

inferred← citeshttps://doi.org/10.1109/jstars.2022.3150843openalex-snapshot

Incorporating the Completeness and Difficulty of Proposals Into Weakly Supervised Object Detection in Remote Sensing Images

inferred← citeshttps://doi.org/10.1109/lra.2022.3146922openalex-snapshot

Learning Open-World Object Proposals Without Learning to Classify

inferred← citeshttps://doi.org/10.1109/lsp.2019.2937387openalex-snapshot

Learning Object Scale With Click Supervision for Object Detection

inferred← citeshttps://doi.org/10.1109/mgrs.2020.3041450openalex-snapshot

Methods for Small, Weak Object Detection in Optical High-Resolution Remote Sensing Images: A survey of advances and challenges

inferred← citeshttps://doi.org/10.1109/sibgrapi51738.2020.00037openalex-snapshot

Weakly Supervised Character Detection for License Plate Recognition

inferred← citeshttps://doi.org/10.1109/sibgrapi59091.2023.10347182openalex-snapshot

Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods

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/tbme.2020.2969608openalex-snapshot

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3168547openalex-snapshot

CBASH: Combined Backbone and Advanced Selection Heads With Object Semantic Proposals for Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3232487openalex-snapshot

Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3609322openalex-snapshot

Weakly Supervised Object Detection for Aerial Images With Instance-Aware Label Assignment

inferred← citeshttps://doi.org/10.1109/tetci.2024.3436853openalex-snapshot

Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3266838openalex-snapshot

Mining High-Quality Pseudoinstance Soft Labels for Weakly Supervised Object Detection in Remote Sensing Images

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3339956openalex-snapshot

Attention Erasing and Instance Sampling for Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3341061openalex-snapshot

Self-Training-Based Semantic-Balanced Network for Weakly Supervised Object Detection in Remote-Sensing Images

inferred← citeshttps://doi.org/10.1109/tifs.2025.3550052openalex-snapshot

I2OL-Net: Intra-Inter Objectness Learning Network for Point-Supervised X-Ray Prohibited Item Detection

inferred← citeshttps://doi.org/10.1109/tim.2023.3273655openalex-snapshot

Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection

inferred← citeshttps://doi.org/10.1109/tip.2018.2883522openalex-snapshot

Deep Ordinal Hashing With Spatial Attention

inferred← citeshttps://doi.org/10.1109/tip.2019.2933735openalex-snapshot

Category-Aware Spatial Constraint for Weakly Supervised Detection

inferred← citeshttps://doi.org/10.1109/tip.2019.2938680openalex-snapshot

Progressive Object Transfer Detection

inferred← citeshttps://doi.org/10.1109/tip.2019.2947155openalex-snapshot

PML-LocNet: Improving Object Localization With Prior-Induced Multi-View Learning Network

inferred← citeshttps://doi.org/10.1109/tip.2020.2987161openalex-snapshot

High-Quality Proposals for Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/tip.2020.3006397openalex-snapshot

DID: Disentangling-Imprinting-Distilling for Continuous Low-Shot Detection

inferred← citeshttps://doi.org/10.1109/tip.2020.3011807openalex-snapshot

Semantics-Preserving Graph Propagation for Zero-Shot Object Detection

inferred← citeshttps://doi.org/10.1109/tip.2021.3056887openalex-snapshot

Pyramidal Multiple Instance Detection Network With Mask Guided Self-Correction for Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/tip.2021.3072215openalex-snapshot

Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation

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/tip.2024.3364536openalex-snapshot

Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection

inferred← citeshttps://doi.org/10.1109/tkde.2024.3389668openalex-snapshot

Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization

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.2019.2939744openalex-snapshot

WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and 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.2022.3198018openalex-snapshot

FI-WSOD: Foreground Information Guided Weakly Supervised Object Detection

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.2018.2874657openalex-snapshot

Deep FisherNet for Image Classification

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/tnnls.2022.3178180openalex-snapshot

Enhanced Spatial Feature 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.2019.2921543openalex-snapshot

Guided Attention Inference Network

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.2022.3174072openalex-snapshot

Few-shot Object Detection and Viewpoint Estimation for Objects in the Wild

inferred← citeshttps://doi.org/10.1109/tpami.2022.3187350openalex-snapshot

Learning to Overcome Noise in Weak Caption Supervision for Object Detection

inferred← citeshttps://doi.org/10.1109/tpami.2023.3275142openalex-snapshot

Learning an Invariant and Equivariant Network for Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/tpami.2024.3361472openalex-snapshot

CPR++: Object Localization via Single Coarse Point Supervision

inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00105openalex-snapshot

Where to Look?: Mining Complementary Image Regions for Weakly Supervised Object Localization

inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00106openalex-snapshot

Weakly Supervised Instance Segmentation by Deep Community Learning

inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00017openalex-snapshot

Scaling Novel Object Detection with Weakly Supervised Detection Transformers

inferred← citeshttps://doi.org/10.1117/12.2680490openalex-snapshot

Classification of breast cancer pathological images combining fine-grained region location

inferred← citeshttps://doi.org/10.1145/3123266.3123455openalex-snapshot

A Dual-Network Progressive Approach to Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1145/3338533.3372209openalex-snapshot

Multi-scale Features for Weakly Supervised Lesion Detection of Cerebral Hemorrhage with Collaborative Learning

inferred← citeshttps://doi.org/10.1145/3394171.3413835openalex-snapshot

Objectness Consistent Representation for Weakly Supervised Object Detection

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