Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss

时间 2020-12-26

标签 3d bouding box 繁體版

原文原文链接

Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss insights 3DIou loss Homoscedastic noise Heteroscedastic noise 3D框的representation 重要结论 distance 越远其va

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1. Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
2. Object-Detection-Loss
3. Improved Object Categorization and Detection Using Comparative Object Similarity
4. 【3D 目标检测】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
5. 3D Object Detection 3D目标检测综述
6. Localization and Object Detection
7. Focal Loss for Dense Object Detection
8. One-shot object detection
9. 论文阅读：EfficientDet: Scalable and Efficient Object Detection
10. 3D Bounding Box Estimation Using Deep Learning and Geometry

>>更多相关文章<<