autoaugment

A treasure chest for visual classification and recognition powered by PaddlePaddle

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

Unofficial PyTorch Reimplementation of RandAugment.

🛠 Toolbox to extend PyTorch functionalities

PyTorch implementation of AutoAugment.

Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)

Optimize RandAugment with differentiable operations

Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

Unofficial Pytorch implementation of the paper 'Learning Data Augmentation Strategies for Object Detection'

Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)

FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.

Unofficial PyTorch Reimplementation of UniformAugment.

📦Simple Tool Box with Pytorch

An unofficial implementation of Google Brain's research in 2018

PyTorch implementation of Fast AutoAugment for Time Series

Stanford CS 230 Group Project

Collection of deep learning modules

RandAugment process for point cloud data to handle with 3D classification task

Comparing different learning paradigms on the STL 10 dataset and carrying further analysis in each method

This repository contains the code and the report for the coursework of INFR11031 Advanced Vision, a postgraduate course offered at The University of Edinburgh. The task was to train on limited and improve the accuracy of the ResNet-50 classifier on a small subset of the ImageNet dataset containing 50K training images and 50K test images. Achieved a mark of 74%