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Found 3 papers, 3 papers with code
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
In this paper, we present and delve into the self-consistency capability of LVLMs, a crucial aspect that reflects the models' ability to both generate informative captions for specific objects and subsequently utilize these captions to accurately re-identify the objects in a closed-loop process.
Unveiling Parts Beyond Objects:Towards Finer-Granularity Referring Expression Segmentation
To foster future research into fine-grained visual grounding, our benchmark RefCOCOm, the MRES-32M dataset and model UniRES will be publicly available at https://github. com/Rubics-Xuan/MRES
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
We show that only language-paired two-modality data is sufficient to connect all modalities.
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