Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior

• URL: http://arxiv.org/abs/2105.03089v1
• Date: Fri, 7 May 2021 07:18:27 GMT
• Title: Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior
• Authors: Lu Liu, Robby T. Tan
• Abstract summary: Human-Object Interaction (HOI) detection aims to detect visual relations between human and objects in images. Non-interactive human-object pair can be easily mis-grouped and misclassified as an action. We propose a spatial enhancement approach to enforce fine-level spatial constraints in two directions.
• Score: 28.99655101929647
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Human-Object Interaction (HOI) detection aims to detect visual relations between human and objects in images. One significant problem of HOI detection is that non-interactive human-object pair can be easily mis-grouped and misclassified as an action, especially when humans are close and performing similar actions in the scene. To address the mis-grouping problem, we propose a spatial enhancement approach to enforce fine-level spatial constraints in two directions from human body parts to the object center, and from object parts to the human center. At inference, we propose a human-object regrouping approach by considering the object-exclusive property of an action, where the target object should not be shared by more than one human. By suppressing non-interactive pairs, our approach can decrease the false positives. Experiments on V-COCO and HICO-DET datasets demonstrate our approach is more robust compared to the existing methods under the presence of multiple humans and objects in the scene.

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