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
Related projects ⓘ
Alternatives and complementary repositories for sota-data-augmentation-and-optimizers
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆40Updated last year
- ☆17Updated 5 years ago
- Differentiable Data Augmentation Library☆120Updated 2 years ago
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated last year
- ☆23Updated 3 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Reproduce DLOW: Domain Flow for Adaptation and Generalization☆20Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆104Updated 2 years ago
- ☆38Updated last year
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆27Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆100Updated 4 years ago
- an implementation of mixup☆41Updated 4 years ago
- ☆92Updated 3 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆127Updated 3 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆56Updated last year
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆47Updated 2 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆29Updated 2 years ago
- Batch-Instance Normalization (BIN)☆79Updated 5 years ago
- ☆49Updated 4 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated last year
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- ☆46Updated 3 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 2 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated last year
- Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implici…☆24Updated 2 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆84Updated 2 years ago
- [CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai☆100Updated 2 years ago