State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation
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DOI: 10.1109/tip.2022.3224872
Abstract: How to avoid biased predictions is an important and active research question in scene graph generation (SGG). Current state-of-the-art methods employ debiasing techniques such as resampling and causality analysis. However, the role of intrinsic cues… read more here.
Keywords: scene graph; graph generation; state; compositional learning ... See more keywords