Visual Instruction Tuning for Pixel-Level Understanding with Osprey

With the recent enhancement of visual instruction tuning methods, Multimodal Large Language Models (MLLMs) have demonstrated remarkable general-purpose vision-language capabilities. These capabilities make them key building blocks for modern general-purpose visual assistants. Recent models, including MiniGPT-4, LLaVA, InstructBLIP, and others, exhibit impressive visual reasoning and instruction-following abilities. Although a majority of them rely on image-text […]

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