Few-shot Object Localization

arXiv:2403.12466v1 Announce Type: new
Abstract: Existing few-shot object counting tasks primarily focus on quantifying the number of objects in an image, neglecting precise positional information. To bridge this research gap, this paper introduces the novel task of Few-Shot Object Localization (FSOL), which aims to provide accurate object positional information. This task achieves generalized object localization by leveraging a small number of labeled support samples to query the positional information of objects within corresponding images. To advance this research field, we …

abstract arxiv bridge cs.cv few-shot focus gap generalized image information localization novel object objects paper research tasks type