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...

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

Semi-supervised learning for object detection

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

ResNeSt: Split-Attention Network

A New Optimization Technique for Deep Neural Networks

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

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

Pytorch implementation of MixNMatch

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

A New Meta-Baseline for Few-Shot Learning

SuperMix: Supervising the Mixing Data Augmentation

Rethinking Image Mixture for Unsupervised Visual Representation Learning

CVPR 2020 论文开源项目合集

MoEx (Moment Exchange)

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

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

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

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

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

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

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

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

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

Unofficial PyTorch Reimplementation of RandAugment.

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

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

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

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