data-augmentation topic
Random-Erasing
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
DataAug4NLP
Collection of papers and resources for data augmentation for NLP.
SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
WB_color_augmenter
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
ModelNet40-C
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
ghost-free-shadow-removal
[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
EmotionalConversionStarGAN
This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".
aaltd18
Data augmentation using synthetic data for time series classification with deep residual networks
GRAND
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
torch_videovision
Transforms for video datasets in pytorch