Shaoli-Huang / SnapMixLinks
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
☆129Updated 4 years ago
Alternatives and similar repositories for SnapMix
Users that are interested in SnapMix are comparing it to the libraries listed below
Sorting:
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆338Updated 4 years ago
- ☆146Updated 4 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆170Updated 2 years ago
- A PyTorch implementation of CutMix☆52Updated 6 years ago
- Semi-supervised ImageNet1K models☆246Updated 6 years ago
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 6 years ago
- PyTorch implementation of AutoAugment.☆161Updated 5 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆355Updated 3 years ago
- pytorch metric learning tools and pycls☆79Updated last year
- 9th Place Solution of Kaggle Global Wheat Detection☆144Updated 4 years ago
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 6 years ago
- PyTorch Implementation for SoftTriple Loss☆210Updated last year
- ☆403Updated 3 years ago
- This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)☆87Updated 2 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆478Updated 11 months ago
- Look-into-Object: Self-supervised Structure Modeling for Object Recognition (CVPR 2020)☆115Updated last year
- Implementing Lambda Networks using Pytorch☆140Updated 4 years ago
- This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MM…☆258Updated 4 years ago
- ☆340Updated 2 years ago
- SSL-FEW-SHOT☆172Updated 5 years ago
- Pytorch Implementation of Deep Networks with Stochastic Depth☆62Updated 6 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Updated 4 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆419Updated last year
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆113Updated 2 months ago
- Unofficial PyTorch Implementation of EvoNorm☆123Updated 4 years ago
- Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"☆327Updated 4 years ago
- Implementation of Online Label Smoothing in PyTorch☆95Updated 3 years ago
- an implementation of mixup☆41Updated 5 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆169Updated 3 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆157Updated 3 years ago