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GranViT: A Fine-Grained Vision Model With Autoregressive Perception For MLLMs

arXiv — cs.CV•Monday, October 27, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
GranViT is a groundbreaking vision model that enhances the capabilities of Multi-modal Large Language Models (MLLMs) by focusing on fine-grained perception. Unlike traditional vision encoders that primarily analyze global image features, GranViT emphasizes detailed regional analysis, which is crucial for tasks like visual question answering. This innovation is significant as it addresses the limitations of existing models that struggle with fine-grained data due to a lack of annotated resources. By improving how machines understand images, GranViT could lead to more accurate and nuanced interactions in AI applications.
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