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arXiv · 2504.13710

Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence Matching

Heng Liu·Guanghui Li·Mingqi Gao·Xiantong Zhen·Feng Zheng·Yang Wang
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Abstract

Referring video object segmentation (RVOS) aims to segment objects in videos guided by natural language descriptions. We propose FS-RVOS, a Transformer-based model with two key components: a cross-modal affinity module and an instance sequence matching strategy, which extends FS-RVOS to multi-object segmentation (FS-RVMOS). Experiments show FS-RVOS and FS-RVMOS outperform state-of-the-art methods across diverse benchmarks, demonstrating superior robustness and accuracy.

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Heng Liu, Guanghui Li, Mingqi Gao, Xiantong Zhen, Feng Zheng, Yang Wang. 2025-04-18. Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence Matching. https://arxiv.org/abs/2504.13710

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