mlsanityData to 7 Oct 2026

Weakly Supervised Deep Detection Networks

arXiv 1511.02853 ↗First posted 9 Nov 2015cs.CVcited by 183

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Abstract (arXiv)

Weakly supervised learning of object detection is an important problem in image understanding that still does not have a satisfactory solution. In this paper, we address this problem by exploiting the power of deep convolutional neural networks pre-trained on large-scale image-level classification tasks. We propose a weakly supervised deep detection architecture that modifies one such network to operate at the level of image regions, performing simultaneously region selection and classification. Trained as an image classifier, the architecture implicitly learns object detectors that are better than alternative weakly supervised detection systems on the PASCAL VOC data. The model, which is a simple and elegant end-to-end architecture, outperforms standard data augmentation and fine-tuning techniques for the task of image-level classification as well.

Key facts. Cited by 183 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Nov 2015.

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Citing papers per year: 2021: 49; 2022: 45; 2023: 46; 2024: 22; 2025: 16; 2026: 5.

183 papers.

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  1. 2021Open-vocabulary Object Detection via Vision and Language Knowledge Distillationcited by 903
  2. 2022Detecting Twenty-thousand Classes using Image-level Supervisioncited by 613
  3. 2022GLIPv2: Unifying Localization and Vision-Language Understandingcited by 275
  4. 2021Localizing Objects with Self-Supervised Transformers and no Labelscited by 227
  5. 2022F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Modelscited by 149
  6. 2022Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detectioncited by 145
  7. 2022PromptDet: Towards Open-vocabulary Detection using Uncurated Imagescited by 133
  8. 2021Learning Open-World Object Proposals without Learning to Classifycited by 109
  9. 2022Learning Object-Language Alignments for Open-Vocabulary Object Detectioncited by 95
  10. 2023DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignmentcited by 90
  11. 2021Weakly Supervised Object Localization and Detection: A Surveycited by 84
  12. 2021Multiple instance active learning for object detectioncited by 77
38 more
  1. 2022A Closer Look at Weakly-Supervised Audio-Visual Source Localizationcited by 72
  2. 2021Open Vocabulary Object Detection with Pseudo Bounding-Box Labelscited by 71
  3. 2023Object-Aware Distillation Pyramid for Open-Vocabulary Object Detectioncited by 63
  4. 2021Points as Queries: Weakly Semi-supervised Object Detection by Pointscited by 60
  5. 2021DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervisioncited by 59
  6. 2023A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Futurecited by 59
  7. 2021Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detectioncited by 48
  8. 2023CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detectioncited by 46
  9. 2023Active Teacher for Semi-Supervised Object Detectioncited by 43
  10. 2021Weakly Supervised Temporal Adjacent Network for Language Groundingcited by 37
  11. 2021A Survey of Self-Supervised and Few-Shot Object Detectioncited by 35
  12. 2021MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detectioncited by 33
  13. 20213D Spatial Recognition without Spatially Labeled 3Dcited by 31
  14. 2022Point-to-Box Network for Accurate Object Detection via Single Point Supervisioncited by 31
  15. 2021Self-supervised object detection from audio-visual correspondencecited by 29
  16. 2021Linguistic Structures as Weak Supervision for Visual Scene Graph Generationcited by 29
  17. 2022Omni-DETR: Omni-Supervised Object Detection with Transformerscited by 28
  18. 2023Opti-CAM: Optimizing saliency maps for interpretabilitycited by 25
  19. 2023PointOBB: Learning Oriented Object Detection via Single Point Supervisioncited by 25
  20. 2023Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentationcited by 24
  21. 2022Group R-CNN for Weakly Semi-supervised Object Detection with Pointscited by 23
  22. 2022Open Vocabulary Object Detection with Proposal Mining and Prediction Equalizationcited by 23
  23. 2023Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learningcited by 22
  24. 2021Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusterscited by 20
  25. 2022Robust Object Detection With Inaccurate Bounding Boxescited by 20
  26. 2023Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advancescited by 20
  27. 2023What Can Human Sketches Do for Object Detection?cited by 19
  28. 2023Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localizationcited by 19
  29. 2022Object Localization under Single Coarse Point Supervisioncited by 18
  30. 2023A Survey on Video Moment Localizationcited by 18
  31. 2022Localized Vision-Language Matching for Open-vocabulary Object Detectioncited by 17
  32. 2022Active Learning Strategies for Weakly-supervised Object Detectioncited by 17
  33. 2022Object Discovery via Contrastive Learning for Weakly Supervised Object Detectioncited by 16
  34. 2022ImaginaryNet: Learning Object Detectors without Real Images and Annotationscited by 16
  35. 2023Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotationscited by 16
  36. 2023Semantic-aware SAM for Point-Prompted Instance Segmentationcited by 16
  37. 2023ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detectioncited by 15
  38. 2023Semi-Weakly Supervised Object Kinematic Motion Predictioncited by 14

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