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arXiv · 2507.08240

Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework

Seoik Jung·Taekyung Song
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Abstract

In this paper, we investigate the applicability of the CLIP-EBC framework, originally designed for crowd counting, to car object counting using the CARPK dataset. Experimental results show that our model achieves second-best performance compared to existing methods. In addition, we propose a K-means weighted clustering method to estimate object positions based on predicted density maps, indicating the framework's potential extension to localization tasks.

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Seoik Jung, Taekyung Song. 2025-07-11. Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework. https://arxiv.org/abs/2507.08240

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