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Found 5 papers, 1 papers with code
Perception-R1: Pioneering Perception Policy with Reinforcement Learning
In this work, we return to the fundamentals and explore the effects of RL on different perception tasks.
Perception in Reflection
We present a perception in reflection paradigm designed to transcend the limitations of current large vision-language models (LVLMs), which are expected yet often fail to achieve perfect perception initially.
Unhackable Temporal Rewarding for Scalable Video MLLMs
In the pursuit of superior video-processing MLLMs, we have encountered a perplexing paradox: the "anti-scaling law", where more data and larger models lead to worse performance.
Merlin:Empowering Multimodal LLMs with Foresight Minds
Then, FIT requires MLLMs to first predict trajectories of related objects and then reason about potential future events based on them.
Ranked #164 on
Visual Question Answering
on MM-Vet
Grounded Image Text Matching with Mismatched Relation Reasoning
This paper introduces Grounded Image Text Matching with Mismatched Relation (GITM-MR), a novel visual-linguistic joint task that evaluates the relation understanding capabilities of transformer-based pre-trained models.
