RegionDet shows supervised detectors can partially learn to localize activity and context regions, while open-vocabulary detectors nearly fail, indicating current vision-language models are object-centric.
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
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RegionDet: A Benchmark for Region Detection Beyond Object Instances
RegionDet shows supervised detectors can partially learn to localize activity and context regions, while open-vocabulary detectors nearly fail, indicating current vision-language models are object-centric.