JinXins/Adversarial-AutoMixup
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
When training an image classification model, it's crucial to ensure it can accurately categorize images even if they are slightly unusual or 'hard to classify'. This project, AdAutoMix, improves model robustness by automatically generating complex, blended images and using them to challenge and train your image classifier. It takes your existing image datasets and classification models as input and produces a more resilient, better-performing classifier ready for real-world use.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher focused on computer vision and need to build highly robust image classification models that perform well on diverse and challenging real-world data.
Not ideal if you are looking for a plug-and-play solution for general machine learning tasks beyond image classification, or if you do not have experience with deep learning frameworks like PyTorch and MMClassification.
Stars
71
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 02, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/JinXins/Adversarial-AutoMixup"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
WinfredGe/T2S
[IJCAI 2025] Official implementation of "T2S: High-resolution Time Series Generation with...
monniert/dti-sprites
(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper
Mukosame/AODA
Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo...
shashankvkt/AlignMixup_CVPR22
Official Implementation of AlignMixup - CVPR 2022
ValentinKoch/SVDNA
The github repository of the paper "Noise Transfer for Unsupervised Domain Adaptation of Retinal...