wenz116/RefContrast
Understanding Synonymous Referring Expressions via Contrastive Features
This helps researchers in computer vision and natural language processing to better link specific objects within an image to their natural language descriptions. It takes an image and a textual description as input, then identifies the precise object referred to by the text, even when different phrasings are used. This is for AI/ML researchers developing advanced image-text understanding models.
No commits in the last 6 months.
Use this if you are developing or evaluating models that need to accurately localize objects in images based on diverse and synonymous natural language descriptions.
Not ideal if you are looking for a ready-to-use application for image annotation or general image search, as this is a research implementation for model development.
Stars
8
Forks
1
Language
—
License
—
Category
Last pushed
Apr 21, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wenz116/RefContrast"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AdaptiveMotorControlLab/CEBRA
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
theolepage/sslsv
Toolkit for training and evaluating Self-Supervised Learning (SSL) frameworks for Speaker...
PaddlePaddle/PASSL
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision...
YGZWQZD/LAMDA-SSL
30 Semi-Supervised Learning Algorithms
ModSSC/ModSSC
ModSSC: A Modular Framework for Semi Supervised Classification