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

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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
arXiv PDF paper https://arxiv.org/pdf/2303.02001.pdf

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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AI News Clips by Morris Lee: News to help your R&D
AI News Clips by Morris Lee: News to help your R&D

Written by AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.

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