AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition

arXiv:2405.02538v1 Announce Type: new
Abstract: Panoramic Activity Recognition (PAR) aims to identify multi-granularity behaviors performed by multiple persons in panoramic scenes, including individual activities, group activities, and global activities. Previous methods 1) heavily rely on manually annotated detection boxes in training and inference, hindering further practical deployment; or 2) directly employ normal detectors to detect multiple persons with varying size and spatial occlusion in panoramic scenes, blocking the performance gain of PAR. To this end, we consider learning a detector …

abstract adapt arxiv cs.cv deployment detection global identify inference multiple practical recognition training type