etetteh / sota-data-augmentation-and-optimizers
This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CIFAR10 dataset
☆29Updated 3 years ago
Alternatives and similar repositories for sota-data-augmentation-and-optimizers:
Users that are interested in sota-data-augmentation-and-optimizers are comparing it to the libraries listed below
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 2 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated last year
- Differentiable Data Augmentation Library☆122Updated 2 years ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆40Updated last year
- ☆46Updated 3 years ago
- Batch-Instance Normalization (BIN)☆79Updated 5 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 5 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 4 years ago
- ☆23Updated 3 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆27Updated 5 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- an implementation of mixup☆41Updated 4 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Official Pytorch implementation of MixMo framework☆84Updated 3 years ago
- Triplet Loss for Knowledge Distillation☆17Updated 2 years ago
- ☆17Updated 6 years ago
- MoEx (Moment Exchange)☆142Updated 3 years ago
- The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆25Updated 2 years ago
- ☆92Updated 4 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- A PyTorch Implementation of a Large Margin Deep Networks for Classification☆23Updated 5 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆103Updated 3 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆129Updated 3 years ago
- Semi-Supervised Fine-Grained Recognition Challenge at FGVC8☆26Updated 3 years ago