DerrickWang005

AdvCo

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

Awesome-Self-Supervised-Papers

Paper bank for Self-Supervised Learning

CCT

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

CDR

ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels

CMC

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

code-server

VS Code in the browser

CVPR2020-Code

CVPR 2020 论文开源项目合集

deit

Official DeiT repository

DSRL

Implementation of CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation

Efficient-Segmentation-Networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

GCT

Gated Channel Transformation for Visual Recognition (CVPR 2020)

HCL

ICLR 2021, Contrastive Learning with Hard Negative Samples

HRNet-Semantic-Segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

LearnableGroups-Hand

Code for aaai 2021 paper ''Exploiting Learnable Joint Groups for Hand Pose Estimation''

MaskFormer

Per-Pixel Classification is Not All You Need for Semantic Segmentation

mdeq

[NeurIPS'20] Multiscale Deep Equilibrium Models

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mseg-semantic

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

MutualNet

[ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

ProDA

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

pytorch_face_landmark

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

sssegmentation

sssegmentation is a general framework for our research on strongly supervised semantic segmentation.

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch