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ip-augmentation's Projects

saliencymix icon saliencymix

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

sitt icon sitt

Single Image Texture Translation for Data Augmentation

sla icon sla

Self-supervised Label Augmentation via Input Transformations (ICML 2020)

snapmix icon snapmix

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

supermix icon supermix

Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation

teachaugment icon teachaugment

Official Implementation of TeachAugment: Data Augmentation Optimization Using Teacher Knowledge (CVPR2022, Oral)

tokenmix icon tokenmix

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)

torch-audiomentations icon torch-audiomentations

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

tsa icon tsa

[CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation"

uda icon uda

Unsupervised Data Augmentation (UDA)

uda_pytorch icon uda_pytorch

UDA(Unsupervised Data Augmentation) implemented by pytorch

ulda icon ulda

The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"

vidaug icon vidaug

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

ws_dan_pytorch icon ws_dan_pytorch

PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)

yoco icon yoco

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

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