ExplainableML/ACVC
Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"
This project helps machine learning engineers or researchers improve how well their computer vision models perform when faced with new, unseen types of images. It takes a dataset of natural images, applies advanced data augmentation techniques and a specialized 'attention consistency' method, and outputs a more robust image classification model. This is for users who need their models to generalize effectively from a single source of training data to diverse target domains like paintings, cliparts, or sketches.
No commits in the last 6 months.
Use this if you need your image recognition models to maintain high accuracy even when deployed in environments with visually different data than what they were trained on.
Not ideal if you are looking for a general-purpose machine learning library rather than a specific solution for domain generalization in computer vision.
Stars
29
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/ExplainableML/ACVC"
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
JinXins/Adversarial-AutoMixup
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)