Loved this paper! ♥️
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Loved this paper! ♥️
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Authors benchmark multimodal models on vision tasks (detection, segmentation...) using clever prompting tricks.
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Authors benchmark multimodal models on vision tasks (detection, segmentation...) using clever prompting tricks.
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📄 Results: VLMs are solid generalists but still lag behind SOTA task-specific models — especially on geometric tasks vs. semantic ones.
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📄 Results: VLMs are solid generalists but still lag behind SOTA task-specific models — especially on geometric tasks vs. semantic ones.
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paper: 
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paper: 
How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation
  Models on Standard Computer Vision Tasks (2507.01955)
https://huggingface.co/papers/2507.01955
2507.01955
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https://huggingface.co/papers/2507.01955
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Loved this paper! ♥️

Authors benchmark multimodal models on vision tasks (detection, segmentation...) using clever prompting tricks.

📄 Results: VLMs are solid generalists but still lag behind SOTA task-specific models — especially on geometric tasks vs. semantic ones.

paper: https://huggingface.co/papers/2507.01955 
🚀
John6666