April 24, 2023, 12:49 a.m. | Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan

cs.CV updates on arXiv.org arxiv.org

Meta AI recently released the Segment Anything model (SAM), which has
garnered attention due to its impressive performance in class-agnostic
segmenting. In this study, we explore the use of SAM for the challenging task
of few-shot object counting, which involves counting objects of an unseen
category by providing a few bounding boxes of examples. We compare SAM's
performance with other few-shot counting methods and find that it is currently
unsatisfactory without further fine-tuning, particularly for small and crowded
objects. Code …

arxiv attention code count examples fine-tuning meta meta ai objects performance sam segment anything model small study

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