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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 51–60 of 74 papers

TitleStatusHype
Spectrum-guided Multi-granularity Referring Video Object SegmentationCode1
OnlineRefer: A Simple Online Baseline for Referring Video Object SegmentationCode1
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object SegmentationCode1
Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation—0
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object SegmentationCode1
SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationCode1
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object SegmentationCode1
Universal Instance Perception as Object Discovery and RetrievalCode3
Robust Referring Video Object Segmentation with Cyclic Structural Consensus—0
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation—0
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