Hao Luo

reid-strong-baseline. Bag of Tricks and A Strong Baseline for Deep Person Re-identification

ReID_tutorial_slides. 《深度学习与行人重识别》课程课件

AlignedReID. Alignedreid＋+: Dynamically Matching Local Information for Person Re-Identification.

keras_reid. Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

AICITY2021_Track2_DMT. The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.

deep-person-reid. Pytorch implementation of deep person re-identification models.

coding_interviews. Python

NAIC_Person_ReID_DMT. This is Top 3 Code for the Person ReID Compitition of NAIC

paper.

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

Deep-Learning-Papers-Reading-Roadmap. Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

AICITY2020_DMT_VehicleReID. The 3rd Place Submission to AICity Challenge 2020 Track2

phd_paper. PostScript

Awesome-Visual-Transformer. Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

CycleGAN. Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Open-SCPNet. Code re-implement for SCPNet

DeepCC. Multi-Target, Multi-Camera Tracking

IBN-Net. Instance-Batch Normalization Networks (ECCV2018)

fast-reid. SOTA Re-identification Methods and Toolbox

open-reid. Open source person re-identification library in python

README. README文件语法解读，即Github Flavored Markdown语法介绍

CLIP. Contrastive Language-Image Pretraining

mae. PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

AICIty-reID-2020. :red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)

tensorlayer-chinese. TensorLayer 中文版

tensorlayer. TensorLayer: Deep Learning and Reinforcement Learning Library for TensorFlow.

michuanhaohao.github.io. HTML

dino. PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration