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Referring Video Object Segmentation

Referring video object segmentation aims at segmenting an object in video with language expressions. Unlike the previous video object segmentation, the task exploits a different type of supervision, language expressions, to identify and segment an object referred by the given language expressions in a video.

Papers

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Showing 31–40 of 74 papers

TitleStatusHype
Language-Bridged Spatial-Temporal Interaction for Referring Video Object SegmentationCode1
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale BenchmarkCode1
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationCode1
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object SegmentationCode1
SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationCode1
Spectrum-guided Multi-granularity Referring Video Object SegmentationCode1
Multi-Attention Network for Compressed Video Referring Object SegmentationCode1
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
Tracking with Human-Intent ReasoningCode1
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