ip-augmentation Goto Github PK
Type: Organization
Type: Organization
Data Augmentation with Variational Autoencoders (TPAMI)
RAD: Reinforcement Learning with Augmented Data
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
Single Image Texture Translation for Data Augmentation
Self-supervised Label Augmentation via Input Transformations (ICML 2020)
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
PyTorch implementation of neural style randomization for data augmentation
Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
Official Implementation of TeachAugment: Data Augmentation Optimization Using Teacher Knowledge (CVPR2022, Oral)
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Pytorch augmentation
[CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation"
Unsupervised Data Augmentation (UDA)
UDA(Unsupervised Data Augmentation) implemented by pytorch
The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
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