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This paper proposes a simple but efficient MLLM-based framework StreamingRVOS, which can extend image-level segmentation to video-level via a streaming pipeline without introducing extra parameters and achieves excellent performance in referring video segmentation.
This work introduces UniME-R1, an embedder-adviser framework that learns to reason over initially retrieved candidates and generate Retrieval-Centric Chain-of-Thought (RC-CoT), and aligns the adviser with retrieval outcomes through supervised learning and retrieval-oriented reinforcement learning.
NaviDC-OCR introduces deformation-aware learning to incorporate geometric perception into VLMs and proposes an adaptive sampling mechanism for complex layout representation, and a content-structure decoupled learning strategy is developed to explicitly model formula grammars and table structures, enabling more effectiv...
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