WangChaofeng's repositories
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
Npair_loss_pytorch
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
L-GM_loss_pytorch
Rethinking Feature Distribution for Loss Functions in Image Classification
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Paper_Reading_List
Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
MobileSAM
This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper