KaihuaTang/Scene-Graph-Benchmark.pytorch
A PyTorch codebase for scene graph generation that detects objects and predicts visual relationships between them in images.
Not currently ranked — collecting fresh signals.
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This repository provides a PyTorch implementation of scene graph generation methods, including the CVPR 2020 paper on unbiased scene graph generation. It uses Faster R-CNN as a backbone and extends it with scene graph detection capabilities. The toolkit supports object detection, relationship prediction, and graph visualization on both standard benchmarks and custom images. It includes evaluation metrics like recall@K and mean recall@K for assessing scene graph quality.
Frequently asked
- What is KaihuaTang/Scene-Graph-Benchmark.pytorch?
- A PyTorch codebase for scene graph generation that detects objects and predicts visual relationships between them in images.
- Is Scene-Graph-Benchmark.pytorch open source?
- Yes — KaihuaTang/Scene-Graph-Benchmark.pytorch is open source, released under the MIT license.
- What language is Scene-Graph-Benchmark.pytorch written in?
- KaihuaTang/Scene-Graph-Benchmark.pytorch is primarily written in Jupyter Notebook.
- How popular is Scene-Graph-Benchmark.pytorch?
- KaihuaTang/Scene-Graph-Benchmark.pytorch has 1.2k stars on GitHub.
- Where can I find Scene-Graph-Benchmark.pytorch?
- KaihuaTang/Scene-Graph-Benchmark.pytorch is on GitHub at https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch.