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Point, Segment and Count: A Generalized Framework for Object Counting
March 28, 2024, 4:46 a.m. | Zhizhong Huang, Mingliang Dai, Yi Zhang, Junping Zhang, Hongming Shan
cs.CV updates on arXiv.org arxiv.org
Abstract: Class-agnostic object counting aims to count all objects in an image with respect to example boxes or class names, \emph{a.k.a} few-shot and zero-shot counting. In this paper, we propose a generalized framework for both few-shot and zero-shot object counting based on detection. Our framework combines the superior advantages of two foundation models without compromising their zero-shot capability: (\textbf{i}) SAM to segment all possible objects as mask proposals, and (\textbf{ii}) CLIP to classify proposals to obtain …
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