大家好，今天和大家介绍五篇知识蒸馏在BEV目标检测中应用的论文。关于知识蒸馏，大家可以看一下这个视频 EfficientML.ai Lecture 9 - Knowledge Distillation (MIT 6.5940, Fall 2023, Zoom)，对常见的知识蒸馏方法进行了很好的介绍。
文章目录
- 1. Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
- 2. TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning
- 3. UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
- 4. RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
- 5. CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
- 6. 推荐阅读
1. Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
1.1 Method
1.2 Experiments
2. TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning
2.1 Method
2.2 Experiments
3. UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird’s-Eye View
3.1 Method
3.2 Experiments
4. RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
4.1 Method
4.2 Experiments
5. CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
6. 推荐阅读
详解KITTI视觉3D检测模型CMKD: Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
