Griffon v2: A Unified High-Resolution Artificial Intelligence Model Designed to Provide Flexible Object Referring Via Textual and Visual Cues

Recently, Large Vision Language Models (LVLMs) have demonstrated remarkable performance in tasks requiring both text and image comprehension. Particularly in region-level tasks like Referring Expression Comprehension (REC), this progress has become noticeable after image-text understanding and reasoning developments. Models such as Griffon have demonstrated remarkable performance in tasks such as object detection, suggesting a major […]

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