论文阅读

对进行的论文阅读进行记录。

注意由于目前存储的论文数量越来越多,如果想要查找某些特定的论文建议按's'键或者点击右上方的"search"按钮,输入对应英文题目进行搜索。 文章各自的目录中会表明pdf以及开源代码(如有)的外链。

This volume will be basically written in Chinese. The target is to provide fast reference.

Papers are now sorted in Several categories

  1. 3D object detection. mainly on monocular detection and also many papers in sensor fusion.
  2. Building Blocks for neural networks that boost performance
  3. Robotics with DL: using deep learning related technology to boost robotics algorithms
  4. The Theory: General advices for understanding and boosting the performance of deep learning
  5. other interesting or useful papers including 1. 2D object detection 2. Advanced SLAM 3. Segmentation 4. End to end navigation

推荐的综述型阅读

Monocular 3D Object Detection-KITTI

Stereo 3D Object Detection-KITTI

Stereo Matching - KITTI

Yolov4 & Review of Structure and Tricks for Object Detection

Comprehensive Practiacl Cookbook for visualDet3D

Github

Github 网页

欢迎共同记录论文阅读,对文章的解读有质疑和补充的建议提交github issue.

Comments (since 2022.01.28)

本博客站使用utterances,对每一篇文章开启单独的评论区.