There is a surge of interest in image scene graph generation (object, attribute and relationship detection) due to the need of building fine-grained image understanding models that go beyond object detection. Due to the lack of a good benchmark, the reported results of different scene graph generation models are not directly comparable, impeding the research progress. We have developed a much-needed scene graph generation benchmark based on the maskrcnn-benchmark and several popular models. This paper presents main features of our benchmark and a comprehensive ablation study of scene graph generation models using the Visual Genome and OpenImages Visual relationship detection datasets. Our codebase is made publicly available at https://github.com/microsoft/scene_graph_benchmark.
Image Scene Graph Generation (SGG) Benchmark
A scene graph generation benchmark is developed to improve the comparability and research progress of models using Visual Genome and OpenImages datasets.
- Year
- 2021
- Venue
- arXiv 2021
- Authors
- 6
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2107.12604ARXIV-DEFAULT
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- Semantic Scholar