2toinf/IVM

[NeurIPS-2024] The offical Implementation of "Instruction-Guided Visual Masking"

29
/ 100
Experimental

This tool helps improve how AI models, like those used in robotics or for answering questions about images, understand and react to visual information. You provide an image and a specific instruction (e.g., "pick up the red cup"), and it generates a mask that highlights only the relevant parts of the image, allowing the AI to focus better. This is for AI developers and researchers building or enhancing multimodal AI systems, especially those integrating vision and language.

No commits in the last 6 months.

Use this if you are developing AI models that need to accurately interpret complex visual instructions and want to improve their ability to focus on specific objects or regions within an image.

Not ideal if you are a non-developer looking for a ready-to-use application for image editing or general object detection without integrating it into an AI model workflow.

AI Development Robotics Computer Vision Multimodal AI Visual Question Answering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 5 / 25

How are scores calculated?

Stars

42

Forks

2

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Nov 15, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/2toinf/IVM"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.