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Count objects in image with zero examples using patches like a generated sample with ZSC

Count objects in image with zero examples using patches like a generated sample with ZSC


Zero-shot Object Counting

arXiv paper abstract https://arxiv.org/abs/2303.02001



Class-agnostic object counting aims to count object instances of an arbitrary class at test time ... Current methods require human-annotated exemplars as inputs which are often unavailable for novel categories


... propose zero-shot object counting (ZSC) ... where only the class name is available during test time ... does not require human annotators ... and can operate automatically.


... propose a method that can accurately identify the optimal patches which can then be used as counting exemplars.


... first construct a class prototype to select the patches that are likely to contain the objects of interest, namely class-relevant patches.


... quantitatively measure how suitable an arbitrary patch is as a counting exemplar ... select the most suitable patches as exemplars


... Experimental results on a recent class-agnostic counting dataset, FSC-147, validate the effectiveness of ... method ...



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