luhaifeng19947

CRHD-3K

The first high-definition cloth retouching dataset CRHD-3K.

CardSwipeLayout

Use RecyclerView to achieve card swipe layout , like Tantan . (模仿探探卡片滑动效果的布局)

PerceptualSimilarity

LPIPS metric. pip install lpips

pretrained-models.pytorch

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

self-ensemble-visual-domain-adapt

Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'

OpenUnReID

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

SpCL

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

fast-reid

SOTA Re-identification Methods and Toolbox

insightface

State-of-the-art 2D and 3D Face Analysis Project

MegEngine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

DA

Unsupervised Domain Adaptation Papers and Code

MMT

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Unsupervised-Person-ReID-Paper

Current Unsupervised Person ReID Paper&Code

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

ACNet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

LPRNet_Pytorch

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

GAN-Knowledge-Distillation-SSD

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

transferlearning-tutorial

《迁移学习简明手册》LaTex源码

DistanceGAN

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

LR-License-Plate-Generation

A Pytorch implementation about Novel License Plate Generation based on <To learn image super-resolution, use a GAN to learn how to do image degradation first>

LP_character_segmentation

A project about license plate character segmentation

caffe

Caffe: a fast open framework for deep learning.

Triplet-Loss

Apply triplet loss to face recognition， adding new loss layer to the latest version of caffe.

octconv.pytorch

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Spatial-Re-Scaling

HetConvolution2d_pytorch

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement

Spatial-Temporal-Re-identification

[AAAI 2019] Spatial Temporal Re-identification

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

cae

Convolutional Auto Encoder implemented in Tensorflow