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Fine-grained mutual geometric features enhanced human-object interaction detection
DOI:10.1016/j.patcog.2026.113614.png)
Abstract
En 中文
• Propose a novel edge-guided framework to advance HOI detection. • Introduce EGE to encode fine-grained edges, boosting spatial modeling. • Propose EMMA to form robust anchors via median projections of edge points. • Develop ERSA to fuse edge and anchor cues with adaptive spatial attention. • Advance HOI detection by tackling irregular objects and long-range layouts.
Keywords:
edge-guided framework
HOI detection
EGE
EMMA
ERSA
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
Organization
No organization information available

