Computer Science > Computer Vision and Pattern Recognition
arXiv:2306.16048 (cs)
[Submitted on 28 Jun 2023 (v1), last revised 18 Jun 2024 (this version, v3)]
Title:Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity
Authors:Zhenlin Xu,Yi Zhu,Tiffany Deng,Abhay Mittal,Yanbei Chen,Manchen Wang,Paolo Favaro,Joseph Tighe,Davide Modolo
View a PDF of the paper titled Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity, by Zhenlin Xu and 8 other authors
View PDFHTML (experimental)Abstract:This paper presents novel benchmarks for evaluating vision-language models (VLMs) in zero-shot recognition, focusing on granularity and specificity. Although VLMs excel in tasks like image captioning, they face challenges in open-world settings. Our benchmarks test VLMs' consistency in understanding concepts across semantic granularity levels and their response to varying text specificity. Findings show that VLMs favor moderately fine-grained concepts and struggle with specificity, often misjudging texts that differ from their training data. Extensive evaluations reveal limitations in current VLMs, particularly in distinguishing between correct and subtly incorrect descriptions. While fine-tuning offers some improvements, it doesn't fully address these issues, highlighting the need for VLMs with enhanced generalization capabilities for real-world applications. This study provides insights into VLM limitations and suggests directions for developing more robust models.
| Comments: | CVPR2024 MMFM workshop |
| Subjects: | Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2306.16048 [cs.CV] |
| (orarXiv:2306.16048v3 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2306.16048 arXiv-issued DOI via DataCite |
Submission history
From: Zhenlin Xu [view email][v1] Wed, 28 Jun 2023 09:29:06 UTC (4,446 KB)
[v2] Mon, 29 Jan 2024 10:45:58 UTC (4,564 KB)
[v3] Tue, 18 Jun 2024 07:12:47 UTC (4,545 KB)
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View a PDF of the paper titled Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity, by Zhenlin Xu and 8 other authors
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