xiaopingzeng

MoEx

MoEx (Moment Exchange)

pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

ssl_detection

Semi-supervised learning for object detection

Adapted-Center-and-Scale-Prediction

Pytorch implementation of "Adapted Center and Scale Prediction: More stable and More Accurate"

ATSS

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, 2020

AutoNovel

Automatically Discovering and Learning New Visual Categories with Ranking Statistics (ICLR 2020)

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文

BNM

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

CVPR2020-Code

CVPR 2020 论文开源项目合集

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

fixmatch

A simple method to perform semi-supervised learning with limited data.

fixmatch-1

pytorch implementation of fixmatch on cifar with randaugment. 90%+ acc with 40 labeled training samples

FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

flowgmm

FMix

Official implementation of 'Understanding and Enhancing Mixed Sample Data Augmentation'

Gradient-Centralization

A New Optimization Technique for Deep Neural Networks

jacobian_regularizer

A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.

JoCoR

CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

MixNMatch

Pytorch implementation of MixNMatch

Mixup_for_UDA

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

PC-DARTS

PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

Pretext-Invariant-Representations

Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations

realmix

Code for the paper: RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms

ResNeSt

ResNeSt: Split-Attention Network

Rethinking-Image-Mixture-for-Unsupervised-Learning

Rethinking Image Mixture for Unsupervised Visual Representation Learning

SEAM

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

SimCLR

A PyTorch implementation of SimCLR based on the paper "A Simple Framework for Contrastive Learning of Visual Representations"

SuperMix

SuperMix: Supervising the Mixing Data Augmentation

Waking-Up

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试:rocket:；可用于模拟面试、面试前复习、短期内快速备战面试...