Learning Efficient Interaction Anchor for HOI Detection
Part Of
Proceedings - IEEE International Conference on Multimedia and Expo
Start Page
1
End Page
6
ISBN (of the container)
979-835039015-5
Date Issued
2024-07-15
Author(s)
Abstract
Human-object interaction (HOI) detection seeks complicated relationships between humans and objects, yet struggles persist in correctly associating multiple objects with a single human in complex interaction scenarios. In this paper, we tackle such an issue by introducing a novel interaction anchor that employs flexible strategies across different decoder layers with Barlow constraint and Interactivity-Instance Fusion. The proposed modules are both additive and easily implementable in existing approaches, offering computational efficiency within transformer-based models to compact cross-interactivity. Extensive experiments validate the effectiveness of our method, demonstrating comparable performance on HICO-DET and V-COCO for HOI detection.
Event(s)
2024 IEEE International Conference on Multimedia and Expo, ICME
Publisher
IEEE
Type
conference paper