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# FGVQA
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This repository contains the FGVQA benchmark suite introduced in the paper [Same or Not? Enhancing Visual Perception in Vision-Language Models]().FGVQA contains 12,000 challenging (image, question, answer) tuples emphasizing fine-grained image understanding.
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The benchmark suite is composed of six sub-benchmarks:
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1) [TWIN-eval](https://glab-caltech.github.io/twin/)
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# FGVQA
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This repository contains the FGVQA benchmark suite introduced in the paper [Same or Not? Enhancing Visual Perception in Vision-Language Models](https://glab-caltech.github.io/twin).FGVQA contains 12,000 challenging (image, question, answer) tuples emphasizing fine-grained image understanding.
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The benchmark suite is composed of six sub-benchmarks:
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1) [TWIN-eval](https://glab-caltech.github.io/twin/)
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