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Resources for Multiple Object Tracking (MOT)
papers collection and understanding for video person re-identification
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Video-based Person ReID Method Implementations on MARS
Torchreid: Deep learning person re-identification in PyTorch.
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
A curated list of resources for Learning with Noisy Labels
An easy to understand and better performance version of CenterNet
A LaTeX Template for BUPT Bachelor Thesis (updated in 2018) 北京邮电大学学士学位论文LaTeX模板
A list of papers on Generative Adversarial (Neural) Networks
Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
A project to recognize Chinese plate number
OpenMMLab Detection Toolbox and Benchmark
Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Python library for processing Chinese text