A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929712176037888 |
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| author | Song, Xiujie Wu, Mengyue Zhu, Kenny Q. Zhang, Chunhao Chen, Yanyi |
| author_facet | Song, Xiujie Wu, Mengyue Zhu, Kenny Q. Zhang, Chunhao Chen, Yanyi |
| contents | Large Vision-Language Models (LVLMs), despite their recent success, are hardly comprehensively tested for their cognitive abilities. Inspired by the prevalent use of the Cookie Theft task in human cognitive tests, we propose a novel evaluation benchmark to evaluate high-level cognitive abilities of LVLMs using images with rich semantics. The benchmark consists of 251 images along with comprehensive annotations. It defines eight reasoning capabilities and comprises an image description task and a visual question answering task. Our evaluation of well-known LVLMs shows that there is still a significant gap in cognitive abilities between LVLMs and humans. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_18409 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models Song, Xiujie Wu, Mengyue Zhu, Kenny Q. Zhang, Chunhao Chen, Yanyi Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition Large Vision-Language Models (LVLMs), despite their recent success, are hardly comprehensively tested for their cognitive abilities. Inspired by the prevalent use of the Cookie Theft task in human cognitive tests, we propose a novel evaluation benchmark to evaluate high-level cognitive abilities of LVLMs using images with rich semantics. The benchmark consists of 251 images along with comprehensive annotations. It defines eight reasoning capabilities and comprises an image description task and a visual question answering task. Our evaluation of well-known LVLMs shows that there is still a significant gap in cognitive abilities between LVLMs and humans. |
| title | A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models |
| topic | Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2402.18409 |