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cluster-contrast-reid

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

dkd-personsearch

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast-reid

SOTA ReID Methods and Toolbox

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

hap

[NeurIPS 2023] HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

hap.github.io

hoim-pytorch

Hierarchical Online Instance Matching for Person Search (AAAI'20)

insightface-v2

PyTorch implementation of Additive Angular Margin Loss for Deep Face Recognition.

ise-reid

ISE: Implicit Sample Extension for Unsupervised Person Re-Identification (CVPR2022)

mae

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

minimal

Minimal is a Jekyll theme for GitHub Pages

non-local_pytorch

Implementation of Non-local Block.

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

passl

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

past-reid

Self-Training with Progressive Augmentation for Unsupervised Cross-Domain Person Re-identification (ICCV2019)

person_search

Joint Detection and Identification Feature Learning for Person Search

pgan-vehiclere-id

Code for Part-Guided Attention Learning for Vehicle Instance Retrieval (TITS2020). A strong Vehicle Re-ID model with part region guidance.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

ram

reid-strong-baseline-1

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

resnest

ResNeSt: Split-Attention Networks

rfconv

Rectified Convolution