WangChaofeng (ChaofWang)

ChaofWang

Geek Repo

Company:baidu

Location:shanghai

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WangChaofeng's repositories

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

AWSRN

PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"

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Npair_loss_pytorch

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

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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

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Paper_Reading_List

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

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caffe

Caffe on both Linux and Windows

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MobileSAM

This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight

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netscope

Neural network visualizer

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PIL

ImageProcess opencv+QT

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ResNeSt

ResNeSt: Split-Attention Network

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simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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