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https://blog.csdn.net/wfei101/article/category/7120809

Low Rank Structure of Learned Representations

解读：牛津大学神经网络新训练法：低秩结构增强网络压缩和对抗稳健性 http://3g.163.com/dy/article/DGVMMFO40511FERQ.html

ON LARGE-BATCH TRAINING FOR DEEP LEARNING: GENERALIZATION GAP AND SHARP MINIMA

大bach size容易掉入sharp minima(尖锐极小解)

Pelee: A Real-Time Object Detection System on Mobile Devices

解读：优于MobileNet、YOLOv2：移动设备上的实时目标检测系统Pelee https://zhuanlan.zhihu.com/p/36505002?utm_source=qq&utm_medium=social&utm_member=ZGVmZDA1NmY1MjAxOWZhMGU0OTVjYTM2ZmE0NDcwOWY%3D

R-SSD：Enhancement of SSD by concatenating feature maps for object detection

解读：SSD算法的改进版之 R-SSD https://blog.csdn.net/u014380165/article/details/77130922

TSN：Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

[行为识别论文详解]TSN(Temporal Segment Networks) https://blog.csdn.net/zhang_can/article/details/79618781

Spatiotemporal Residual Networks for Video Action Recognition

双流网络行为识别-Spatiotemporal Residual Networks for Video Action Recognition-论文阅读

SSN：Temporal Action Detection with Structured Segment Networks

https://blog.csdn.net/qq_20720317/article/details/77565821

从零开始PyTorch项目：YOLO v3目标检测实现

https://www.jiqizhixin.com/articles/2018-04-23-3

Face Paper: DSSD论文详解

https://blog.csdn.net/wfei101/article/details/79672748

[CVPR2018] An Analysis of Scale Invariance in Object Detection – SNIP

https://blog.csdn.net/qq416261970/article/details/79774909

CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns

CVPR2018: TFusion完全解读https://blog.csdn.net/u011453773/article/details/79638489

Pyramid Stereo Matching Network

Pyramid Stereo Matching Network (CVPR2018)的PyTorch实现代码 https://www.ctolib.com/JiaRenChang-PSMNet.html

CVPR2018精选#2: 视频分析的非局部(non-local) 神经网络模块，CMU与Facebook AI研究室视频分类识别新贡献

http://nooverfit.com/wp/cvpr2018%E7%B2%BE%E9%80%892-%E8%A7%86%E9%A2%91%E5%88%86%E6%9E%90%E7%9A%84%E9%9D%9E%E5%B1%80%E9%83%A8non-local-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E6%A8%A1%E5%9D%97%EF%BC%8Ccmu%E4%B8%8Efacebook-ai/

CVPR2018论文《Look at Boundary: A Boundary-Aware Face Alignment Algorithm》

论文：https://arxiv.org/abs/1805.10483

代码：https://github.com/wywu/LAB

[CVPR 2018论文笔记] 光流与行为识别的结合研究

https://zhuanlan.zhihu.com/p/32443212

[论文概览] AAAI 2018 行为识别论文概览

https://zhuanlan.zhihu.com/p/34322114

巴特西

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