CVPR2021目标检测论文
3D目标检测
1. 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
2. Categorical Depth Distribution Network for Monocular 3D Object Detection
3. ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
4. Center-based 3D Object Detection and Tracking
2D目标检测
5. Scaled-YOLOv4: Scaling Cross Stage Partial Network
6 You Only Look One-level Feature
7. Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
8. End-to-End Object Detection with Fully Convolutional Network
9. Dynamic Head: Unifying Object Detection Heads with Attentions
10. Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
11. UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
12. MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
13. Tracking Pedestrian Heads in Dense Crowd14.
15. Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation
16. PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery
17. IQDet: Instance-wise Quality Distribution Sampling for Object Detection
18. Multi-Scale Aligned Distillation for Low-Resolution Detection
19. Adaptive Class Suppression Loss for Long-Tail Object Detection
20. VarifocalNet: An IoU-aware Dense Object Detector
21. OTA: Optimal Transport Assignment for Object Detection
22. Distilling Object Detectors via Decoupled Features
23. Robust and Accurate Object Detection via Adversarial Learning
24. OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
25. Multiple Instance Active Learning for Object Detection
26. Towards Open World Object Detection
27. RankDetNet: Delving Into Ranking Constraints for Object Detection
28. Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
29. ReDet: A Rotation-equivariant Detector for Aerial Object Detection
30. Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection
Few-Shot目标检测
31. Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss
32. Adaptive Image Transformer for One-Shot Object Detection
33. Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
34. Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
35. FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
36. Hallucination Improves Few-Shot Object Detection
37. Few-Shot Object Detection via Classification Refinement and Distractor Retreatment
38. Generalized Few-Shot Object Detection Without Forgetting
39. Transformation Invariant Few-Shot Object Detection
40. UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation
41. Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection
半监督目标检测
42. Points As Queries: Weakly Semi-Supervised Object Detection by Points]
43. Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
44. Positive-Unlabeled Data Purification in the Wild for Object Detection
45. Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection
46. Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
47. Humble Teachers Teach Better Students for Semi-Supervised Object Detection
48. Interpolation-Based Semi-Supervised Learning for Object Detection
域自适应目标检测
49. Domain-Specific Suppression for Adaptive Object Detection
50. MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
51. Unbiased Mean Teacher for Cross-Domain Object Detection
52. I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
自监督目标检测
53. There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge
54. Instance Localization for Self-supervised Detection Pretraining
弱监督目标检测
55. Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
56. DAP: Detection-Aware Pre-training with Weak Supervision
其他
57. Open-Vocabulary Object Detection Using Captions
58. Depth From Camera Motion and Object Detection
59. Unsupervised Object Detection With LIDAR Clues
60. GAIA: A Transfer Learning System of Object Detection That Fits Your Needs
61. General Instance Distillation for Object Detection
62. AQD: Towards Accurate Quantized Object Detection
63. Scale-Aware Automatic Augmentation for Object Detection
64．Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection
65. Class-Aware Robust Adversarial Training for Object Detection
66. Improved Handling of Motion Blur in Online Object Detection
67. Multiple Instance Active Learning for Object Detection
68. Neural Auto-Exposure for High-Dynamic Range Object Detection
69. Generalizable Pedestrian Detection: The Elephant in the Room
70. Neural Auto-Exposure for High-Dynamic Range Object Detection
参考文献：
(1条消息) CVPR2021 三维目标检测(3D object detection)_Belouga-的博客-CSDN博客_3d目标检测
(1条消息) CVPR 2021 目标检测论文大盘点（65篇论文）_阿木寺的博客-CSDN博客_目标检测最新论文