首页|Human object interaction detection using two-direction spatial enhancement and exclusive object prior
Human object interaction detection using two-direction spatial enhancement and exclusive object prior
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Elsevier
Human-Object Interaction (HOI) detection aims to detect visual relations between humans 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 the 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 between human body parts and object parts. At inference, we propose a human-object regrouping approach for object-exclusive actions by considering the object-exclusive property of the interactive object, 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. (c) 2021 Elsevier Ltd. All rights reserved.
NSTL
Elsevier
