CVPR2020目标检测共63篇

CVPR2020目标检测共63篇

 

3D目标检测

1.LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention
 

2. Structure Aware Single-Stage 3D Object Detection From Point Cloud
 

3. DSGN: Deep Stereo Geometry Network for 3D Object Detection
 

4. Learning Depth-Guided Convolutions for Monocular 3D Object Detection

5. What You See is What You Get: Exploiting Visibility for 3D Object Detection

6. Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection

7. Density-Based Clustering for 3D Object Detection in Point Clouds
 

8. Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation

9. MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

10. ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

11. PointPainting: Sequential Fusion for 3D Object Detection



12, End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

13. A Hierarchical Graph Network for 3D Object Detection on Point Clouds

14. HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection

15, Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

16. Joint 3D Instance Segmentation and Object Detection for Autonomous Driving

17. PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

18. IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving

19. MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships

20. Physically Realizable Adversarial Examples for LiDAR Object Detection

2D目标检测

21. Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels

 

22. Rethinking Classification and Localization for Object Detection

23. Multiple Anchor Learning for Visual Object Detection

24. CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection

25. Learning From Noisy Anchors for One-Stage Object Detection

26. Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection

27. EfficientDet: Scalable and Efficient Object Detection

28. Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax

29. Dynamic Refinement Network for Oriented and Densely Packed Object Detection

30. Noise-Aware Fully Webly Supervised Object Detection

31. Prime Sample Attention in Object Detection

32. DR Loss: Improving Object Detection by Distributional Ranking

33. AugFPN: Improving Multi-Scale Feature Learning for Object Detection

34. Robust Object Detection Under Occlusion With Context-Aware CompositionalNets

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

36. SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection

37. Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection

38. Offset Bin Classification Network for Accurate Object Detection

39. Scale-Equalizing Pyramid Convolution for Object Detection

40. Learning a Unified Sample Weighting Network for Object Detection

41. Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization

42. Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

视频目标检测

43. Memory Enhanced Global-Local Aggregation for Video Object Detection

跨域目标检测

44. Exploring Categorical Regularization for Domain Adaptive Object Detection

45. Cross-Domain Document Object Detection: Benchmark Suite and Method

46. Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation

NAS for 目标检测

47. Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

48. MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices

49. SP-NAS: Serial-to-Parallel Backbone Search for Object Detection

50. NAS-FCOS: Fast Neural Architecture Search for Object Detection

目标检测 + 其他任务

51. D2Det: Towards High Quality Object Detection and Instance Segmentation

52. Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation

53. Mixture Dense Regression for Object Detection and Human Pose Estimation

显著目标检测

54. Weakly-Supervised Salient Object Detection via Scribble Annotations

55. Taking a Deeper Look at Co-Salient Object Detection

56. JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for  RGB-D Salient Object Detection

57. A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection

58. Multi-Scale Interactive Network for Salient Object Detection

59. Label Decoupling Framework for Salient Object Detection

伪装目标检测

60. Camouflaged Object Detection

少样本目标检测

61. Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector

62. Incremental Few-Shot Object Detection

63. NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection

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