【Bias 03】Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Related work Improving corruption robustness 去除腐蝕：（1）提出一種基於DNN，恢復雨霧圖片質量的方法。（2）預處理中去除雨。但這種方法都是針對某種腐蝕。 數據增強：把腐蝕數據加入訓練。（1）blurred images上分類器表現脆弱，通過在blurred images上fine-tune提高對它的魯棒性。（2）在一種腐蝕上fine-tune，並不能
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相關文章
- 1. 【數據增強】Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
- 2. Pillar-based Object Detection for Autonomous Driving
- 3. 解讀ECCV2020：Pillar-based Object Detection for Autonomous Driving
- 4. Multi-View 3D Object Detection Network for Autonomous Driving
- 5. Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 6. Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Yurong
- 7. 每天一篇論文 373/1000 PSEUDO-LIDAR++:ACCURATE DEPTH FOR 3D OBJECT DETECTION IN AUTONOMOUS DRIVING
- 8. 論文閱讀CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 9. [論文解讀]Multi-View 3D Object Detection Network for Autonomous Driving
- 10. MV3D：Multi-View 3D Object Detection Network for Autonomous Driving（翻譯）