OpenCodePapers
referring-video-object-segmentation-on-reasonvos
Video Segmentation
Referring Video Object Segmentation
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ModelName
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Think Visually Across Space and Time: Grounded Reasoning for Video Segmentation
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72.1
TCoVP-4B (extra data)
2026-10-18
ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning
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64.8
ReVSeg-7B
2025-12-02
Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding
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64.7
PTD Qwen3-VL-4B + SAM3
2026-08-28
Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs
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63.8
Video-ORA-4B
2026-08-20
Seg-ReSearch: Segmentation with Interleaved Reasoning and External Search
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63.2
Seg-ReSearch-8B
2026-02-04
MomentSeg: Moment-Centric Sampling for Enhanced Referring Video Object Segmentation
62.7
MomentSeg-7B
2026-09-08
Don't Guess, Just Ask: Resolving Ambiguity in Referring Segmentation via Multi-turn Clarification
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60.9
IC-Seg (8B)
2026-05-17
Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation
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59.7
DecAF (training-free, Qwen2.5-VL-7B + SAM2) (extra data)
2025-10-22
OneThinker: All-in-one Reasoning Model for Image and Video
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54.9
OneThinker-8B
2025-12-02
STAC: Selective Spatiotemporal Aggregation and Compression for Video Reasoning Segmentation
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52.3
STAC
2026-07-03
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation
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49.9
GLUS-A (Additional-SFT) (extra data)
2025-04-10
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
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47.5
VideoLISA-3.8B (Post-optimization) (extra data)
2024-09-29
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