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alignedreid-re-production-pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

ap3d

Pytorch implementation of "Appearance-Preserving 3D Convolution for Video-based Person Re-identification"

awesome_video_person_reid

papers collection and understanding for video person re-identification

axial-deeplab

This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)

code_v1

cuhk03_test

cuhk03 dataset testing

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-reid

Forked from KaiyangZhou/deep-person-reid

dhgnn

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

eccv2020-code

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

fast-reid

SOTA Re-identification Methods and Toolbox

fd-gan

[NeurIPS-2018] FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.

hgnn

Hypergraph Neural Networks (AAAI 2019)

hypergraph_reid

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode-master

LeetCode 刷题攻略：配思维导图，将近200道经典算法题目刷题顺序、经典算法模板、共60w字的详细图解，以及难点视频题解。按照刷题攻略上的顺序来刷题，让你在算法学习上不再迷茫！🔥🔥给个star支持一下吧！🚀

mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

open-reid

Open source person re-identification library in python

person-re-ranking

Person Re-ranking (CVPR 2017)

person-reid

Tensorflow implementation of "An Improved Deep Learning Architecture for Person Re-Identification"

person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

person_reid_baseline_pytorch

Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pi-reid

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

relation-aware-global-attention-networks

We design an effective Relation-Aware Global Attention (RGA) module for CNNs to globally infer the attention.

rrid

An official implementation of "Relation Network for Person Re-identification" (AAAI 2020) in PyTorch.

videoreid-tclnet

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

xiaoxu

这是做视频用的