booyoungxu

AlignedReID

AlignedReID

DukeMTMC-Pose

Pedestrian Pose Annotation for DukeMTMC-reID by machine (Python and Matlab API)

reid-strong-baseline

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

CLUEDatasetSearch

搜索所有中文NLP数据集，附常用英文NLP数据集

CosFace_pytorch

Pytorch implementation of CosFace

deep-person-reid

Pytorch implementation of deep person re-identification models.

Deep_metric

Deep Metric Learning

DeepHash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

examples

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

fast-reid

SOTA Re-identification Methods and Toolbox

Flow-Guided-Feature-Aggregation

Flow-Guided Feature Aggregation for Video Object Detection

HRNet-Facial-Landmark-Detection

High-resolution representation learning (HRNets) for facial landmark detection

htmlnavbar

Practicing HTML/CSS Navbar

invisible-watermark

python library for invisible image watermark (blind image watermark)

Luban-Py

Python version of Luban(鲁班)—Image compression with efficiency very close to WeChat Moments/可能是最接近微信朋友圈的图片压缩算法

Person_reID_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss.

pet-biometrics

Pet-ReID-IMAG

CVPR2022 Biometrics Workshop Pet Biometric Challenge

pretrained-models.pytorch

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

PS-FCN_Poster_LaTex

LaTex Poster for PS-FCN (ECCV 2018)

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

RivaGAN

Robust video watermarking with non-differentiable adversaries.

sphereface_pytorch

A PyTorch Implementation of SphereFace.

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

TokenLabeling

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vision

Datasets, Transforms and Models specific to Computer Vision

Watermark-JPEG-with-8x8DCT

JPEG digital watermark based on modified DCT mid-frequency coefficient.

Xception-PyTorch

A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions