AS-V2 (The All-Seeing Dataset v2)
Introduced by Wang et al. in The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
We propose a novel task, termed Relation Conversation (ReC), which unifies the formulation of text generation, object localization, and relation comprehension. Based on the unified formulation, we construct the AS-V2 dataset, which consists of 127K high-quality relation conversation samples, to unlock the ReC capability for Multi-modal Large Language Models (MLLMs).
Papers
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