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InternImage
OpenGVLab/InternImage
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
★2.8kstars
Python
MIT
Updated: 4d ago
📋 Project at a Glance
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What's this?Models project leveraging backbone and deformable-convolution, built with Python, open-source
Who made it?Maintained by OpenGVLab team, 2.8K⭐ on GitHub, #527 out of 3201 in Models
Why does it exist?The OpenGVLab team recognized that existing backbone tools in Models were hard to use. InternImage was designed to make deformable-convolution more accessible.
What can it do?Key use cases: foundation-model, object-detection, semantic-segmentation
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/OpenGVLab/InternImage | 官网 https://arxiv.org/abs/2211.05778
🔗 github.com/OpenGVLab/InternImage | 官网 https://arxiv.org/abs/2211.05778
Topics
backbonedeformable-convolutionfoundation-modelobject-detectionsemantic-segmentation