Referring Video Object Segmentation
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Benchmarks
Most implemented
VISA: Reasoning Video Object Segmentation via Large Language Models
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
LISA: Reasoning Segmentation via Large Language Model
End-to-End Referring Video Object Segmentation with Multimodal Transformers
VideoMolmo: Spatio-Temporal Grounding Meets Pointing
Papers
Unlocking Motion in Expressions: Temporal Calibration for Referring Video Object Segmentation
Referring Video Object Segmentation (RVOS) aims to segment referred objects at the pixel level in video sequences based on natural language descriptions. Existing methods typically introduce motion information within a u…
Referring Video Object SegmentationDecision MakingFeVOS: Foresight Expression Video Object Segmentation
Existing Referring Video Object Segmentation tasks focus on referring expressions describing events, actions or appearances of relevant objects within the observed frames, lacking evaluation in scenarios that require pre…
Referring Video Object SegmentationReinforcement LearningBoosting Text-Driven Video Segmentation via Geometry-Aware Distillation
Text-driven Referring Video Object Segmentation (RVOS) aims to locate and segment target objects in videos given natural language. However, existing models are typically trained on 2D image or video datasets with naive s…
Referring Video Object SegmentationZero-shot GeneralizationImage SegmentationVideo SegmentationDon't Guess, Just Ask: Resolving Ambiguity in Referring Segmentation via Multi-turn Clarification
Referring segmentation aims to segment the target objects in images or videos based on the textual query. Despite remarkable progress over the past years, existing works always assume that the user-provided queries are a…
Referring Video Object SegmentationWeakly-Supervised Referring Video Object Segmentation through Text Supervision
Referring video object segmentation (RVOS) aims to segment the target instance in a video, referred by a text expression. Conventional approaches are mostly supervised learning, requiring expensive pixel-level mask annot…
Referring Video Object SegmentationReferring ExpressionThe 1st Winner for 5th PVUW MeViS-Text Challenge: Strong MLLMs Meet SAM3 for Referring Video Object Segmentation
This report presents our winning solution to the 5th PVUW MeViS-Text Challenge. The track studies referring video object segmentation under motion-centric language expressions, where the model must jointly understand app…
Referring Video Object Segmentation