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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 61–70 of 74 papers

TitleStatusHype
Segment Every Reference Object in Spatial and Temporal Spaces—0
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
VLT: Vision-Language Transformer and Query Generation for Referring SegmentationCode2
Multi-Attention Network for Compressed Video Referring Object SegmentationCode1
Towards Robust Referring Video Object Segmentation with Cyclic Relational ConsensusCode1
The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge--Track 3: Referring Video Object Segmentation—0
Language-Bridged Spatial-Temporal Interaction for Referring Video Object SegmentationCode1
Local-Global Context Aware Transformer for Language-Guided Video SegmentationCode1
Language as Queries for Referring Video Object SegmentationCode2
Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation—0
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