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Jingjing Li

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Preprint Aug 2026

SAMOT: State-Aware Step Modulation and Optimal Transport Matching for Audio-Visual Instance Segmentation

A framework with Adaptive Dynamic Step Modulation (ADSM) and Optimal Transport-based Matching Modulation (OT-MM) is proposed, which adaptively modulates Mamba step sizes using temporal variation, cross-modal discrepancy, and historical context, balancing rapid response to modality-state changes with stable long-range m...

Kai Peng, Yun-Zhe Shen, Miao Zhang et al. · 0 citations
Jul 2026

Taking a Deep Look at Multi-Rater Agreement for Calibrated Medical Image Segmentation

In medical image analysis, it is common to collect multiple annotations from different clinical experts or raters to mitigate potential diagnostic inaccuracies. However, in computer vision research, it has been conventional to adopt ground-truth labels generated either by majority voting or by selecting a single rater’...

Jing-Jing Li, Hui-Dong Xie, Wei Ji et al. · 1 citation
Preprint Aug 2026

Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation

H2S addresses challenges of audio-visual instance segmentation through the Acoustic-Semantic Projector and the Asynchronous Dynamics Modulator, prioritizing current information during dynamic variations and maintaining continuity in stable periods.

Leiye Liu, Miao Zhang, Jia-Hong Jiang et al. · 0 citations

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