mlsanityData to 7 Oct 2026

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

arXiv 2004.04725 ↗First posted 9 Apr 2020cs.CV cs.LG eess.IVcited by 80

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Abstract (arXiv)

Weakly supervised learning has emerged as a compelling tool for object detection by reducing the need for strong supervision during training. However, major challenges remain: (1) differentiation of object instances can be ambiguous; (2) detectors tend to focus on discriminative parts rather than entire objects; (3) without ground truth, object proposals have to be redundant for high recalls, causing significant memory consumption. Addressing these challenges is difficult, as it often requires to eliminate uncertainties and trivial solutions. To target these issues we develop an instance-aware and context-focused unified framework. It employs an instance-aware self-training algorithm and a learnable Concrete DropBlock while devising a memory-efficient sequential batch back-propagation. Our proposed method achieves state-of-the-art results on COCO (12.1% ~AP, 24.8% ~AP50), VOC 2007 (54.9% ~AP), and VOC 2012 (52.1% ~AP), improving baselines by great margins. In addition, the proposed method is the first to benchmark ResNet based models and weakly supervised video object detection. Code, models, and more details will be made available at: https://github.com/NVlabs/wetectron.

Key facts. Cited by 80 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 22; 2022: 25; 2023: 15; 2024: 11; 2025: 6; 2026: 1.

80 papers.

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  1. 2021Localizing Objects with Self-Supervised Transformers and no Labelscited by 227
  2. 2022Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cutcited by 166
  3. 2021TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localizationcited by 122
  4. 2022TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cutcited by 111
  5. 2021Weakly Supervised Object Localization and Detection: A Surveycited by 84
  6. 2021Exploring Simple 3D Multi-Object Tracking for Autonomous Drivingcited by 56
  7. 2021Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identificationcited by 45
  8. 2022ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localizationcited by 39
  9. 2021Weakly Supervised Temporal Adjacent Network for Language Groundingcited by 37
  10. 20213D Spatial Recognition without Spatially Labeled 3Dcited by 31
  11. 2022Point-to-Box Network for Accurate Object Detection via Single Point Supervisioncited by 31
  12. 2021Self-supervised object detection from audio-visual correspondencecited by 29
38 more
  1. 2022DeepCut: Unsupervised Segmentation using Graph Neural Networks Clusteringcited by 25
  2. 2023Taming Self-Training for Open-Vocabulary Object Detectioncited by 25
  3. 2023Fine-grained Visual Classification with High-temperature Refinement and Background Suppressioncited by 22
  4. 2021Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusterscited by 20
  5. 2023What Can Human Sketches Do for Object Detection?cited by 19
  6. 2022Localized Vision-Language Matching for Open-vocabulary Object Detectioncited by 17
  7. 2022Active Learning Strategies for Weakly-supervised Object Detectioncited by 17
  8. 2022Object Discovery via Contrastive Learning for Weakly Supervised Object Detectioncited by 16
  9. 2023Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotationscited by 16
  10. 2021What data do we need for training an AV motion planner?cited by 15
  11. 2023Knowledge Combination to Learn Rotated Detection Without Rotated Annotationcited by 12
  12. 2021Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similaritycited by 11
  13. 2022A Novel Plug-in Module for Fine-Grained Visual Classificationcited by 11
  14. 2023Weakly Supervised Open-Vocabulary Object Detectioncited by 11
  15. 2022Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotationscited by 10
  16. 2024Computer Vision for Primate Behavior Analysis in the Wildcited by 10
  17. 2022W2N:Switching From Weak Supervision to Noisy Supervision for Object Detectioncited by 9
  18. 2023Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxescited by 9
  19. 2024WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognitioncited by 9
  20. 2021Salvage of Supervision in Weakly Supervised Object Detectioncited by 8
  21. 2022Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparisoncited by 8
  22. 2023ALWOD: Active Learning for Weakly-Supervised Object Detectioncited by 8
  23. 2022Scaling Novel Object Detection with Weakly Supervised Detection Transformerscited by 7
  24. 2022Self-Supervised Visual Representation Learning via Residual Momentumcited by 7
  25. 2025Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correctioncited by 7
  26. 2021Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Surveycited by 6
  27. 20223DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Cloudscited by 6
  28. 2024Complete Instances Mining for Weakly Supervised Instance Segmentationcited by 5
  29. 2024Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Poolingcited by 5
  30. 2021CaT: Weakly Supervised Object Detection with Category Transfercited by 4
  31. 2022Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Informationcited by 4
  32. 2022EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentationcited by 4
  33. 2023Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depthcited by 4
  34. 2023Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detectioncited by 4
  35. 2023Cyclic-Bootstrap Labeling for Weakly Supervised Object Detectioncited by 4
  36. 2021OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learningcited by 3
  37. 20223rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understandingcited by 3
  38. 2024Towards Two-Stream Foveation-based Active Vision Learningcited by 3

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