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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

advco

amazon-sagemaker-immersion-day

ann

semantic segmentation，pytorch，non-local

apcnet

Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)

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

centernet2

Two-stage CenterNet

cifar-10-100n

Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.

clip

Contrastive Language-Image Pretraining

clip4clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

cmc

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

code-server

VS Code in the browser

contextprior

Implementation for "Context Prior for Scene Segmentation"

cosmiq_sn6_baseline

Baseline algorithm for the SpaceNet 6 Challenge

cris.pytorch

An official PyTorch implementation of the CRIS paper

csra

Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"

cvpr2020-code

CVPR 2020 论文开源项目合集

danet-3dhumanreconstrution

Code for "Learning 3D Human Shape and Pose from Dense Body Parts"

declip

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deeplab_v2

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

deit

Official DeiT repository

derrickwang005.github.io

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dmnet

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

dsrl

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

dupsampling

This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation