解读ECCV2020：Pillar-based Object Detection for Autonomous Driving
文章目录 创新点 Introduction PointPillars的介绍 MVF的介绍 本文主要贡献 网络结构 生成支柱特征 视图融合 Pillar-based Backbone Detection Head loss Bilinear interpolation 实验 Comparing anchor-based, point-based, and pillar-based predictio
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相关文章
- 1. Pillar-based Object Detection for Autonomous Driving
- 2. Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 3. Multi-View 3D Object Detection Network for Autonomous Driving
- 4. [论文解读]Multi-View 3D Object Detection Network for Autonomous Driving
- 5. 论文阅读CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 6. MODNet-Motion and Appearance based Moving Object Detection Network for Autonomous Driving
- 7. Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Yurong
- 8. MV3D：Multi-View 3D Object Detection Network for Autonomous Driving（翻译）
- 9. 每天一篇论文 373/1000 PSEUDO-LIDAR++:ACCURATE DEPTH FOR 3D OBJECT DETECTION IN AUTONOMOUS DRIVING
- 10. 【Bias 03】Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming