sarthaxxxxx/BATCLIP
[ICCV '25] BATCLIP: Bimodal Online Test-Time Adaptation for CLIP
This tool helps computer vision researchers and AI practitioners improve how well image classification models, like CLIP, handle real-world images that might be blurry, noisy, or corrupted. It takes in unlabeled, corrupted images and a pre-trained CLIP model, then adapts the model to make its classifications more accurate. The output is a more robust image classification model, better able to understand images in challenging conditions.
No commits in the last 6 months.
Use this if you are working with open-vocabulary image classification and need to make your models more reliable when encountering corrupted or 'noisy' images in real-time.
Not ideal if your primary concern is training models from scratch or if your image data is consistently clean and free from corruption.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jul 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sarthaxxxxx/BATCLIP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mlfoundations/open_clip
An open source implementation of CLIP.
noxdafox/clipspy
Python CFFI bindings for the 'C' Language Integrated Production System CLIPS
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
moein-shariatnia/OpenAI-CLIP
Simple implementation of OpenAI CLIP model in PyTorch.
BioMedIA-MBZUAI/FetalCLIP
Official repository of FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis