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

• URL: http://arxiv.org/abs/2507.08240v1
• Date: Fri, 11 Jul 2025 00:58:54 GMT
• Title: Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
• Abstract summary: We investigate the applicability of the CLIP-EBC framework, originally designed for crowd counting, to car object counting using the CARPK dataset.<n> Experimental results show that our model achieves second-best performance compared to existing methods.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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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