B
ban-vqa
jnhwkim/ban-vqa
Bilinear attention networks for visual question answering
★548stars
Python
MIT
Updated: 1w ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Models category, core strengths: attention/bilinear-pooling
Who made it?Maintained by jnhwkim team, 548⭐ on GitHub, #1722 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the jnhwkim team identified the need for better attention solutions. ban-vqa was created to simplify bilinear-pooling workflows.
What can it do?Key use cases: pytorch-implmention, visual-question-answering
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/jnhwkim/ban-vqa
🔗 github.com/jnhwkim/ban-vqa
Topics
attentionbilinear-poolingpytorch-implmentionvisual-question-answering