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Report of the 8th LSVOS Challenge: Complex and Multimodal Video Object Segmentation

arXiv 2609.06078 ↗First posted 5 Sep 2026cs.CVcited by 0

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Abstract (arXiv)

This report summarizes the 8th Large-scale Video Object Segmentation (LSVOS) Challenge, held in conjunction with ECCV 2026. The challenge evaluates video segmentation in three complementary settings: complex semi-supervised video object segmentation on MOSEv2, text-guided referring video object segmentation on MeViSv2-Text, and audio-guided referring video object segmentation on MeViSv2-Audio. We describe the tasks and evaluation protocols and review the methods of the top three teams in each track. Across the nine leading solutions, foundation segmentation models are combined with target-aware memory, multimodal reasoning, explicit target-existence verification, agentic interaction, and corrective tracking. These systems illustrate a broader transition from single-model mask propagation toward modular pipelines that reason about object identity, query validity, and temporal reliability.

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References · 20

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  3. 2022A ConvNet for the 2020scited by 3,579
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  5. 2025DINOv3cited by 1,414
  6. 2025SAM 3: Segment Anything with Conceptscited by 906
  7. 2025Qwen2.5-Omni Technical Reportcited by 736
  8. 2023GRES: Generalized Referring Expression Segmentationcited by 254
  9. 2023MOSE: A New Dataset for Video Object Segmentation in Complex Scenescited by 234
  10. 2023MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressionscited by 228
  11. 2026Qwen3-ASR Technical Reportcited by 118
  12. 2024A Distractor-Aware Memory for Visual Object Tracking with SAM2cited by 66
8 more
  1. 2025MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenescited by 62
  2. 2024SUTrack: Towards Simple and Unified Single Object Trackingcited by 52
  3. 2025MeViS: A Multi-Modal Dataset for Referring Motion Expression Video Segmentationcited by 35
  4. 2026Gym-Anything: Turn any Software into an Agent Environmentcited by 27
  5. 2026MolmoPoint: Better Pointing for VLMs with Grounding Tokenscited by 15
  6. 2025The 1st Solution for 7th LSVOS RVOS Track: SaSaSa2VAcited by 7
  7. 2026GREx: Generalized Referring Expression Segmentation, Comprehension, and Generationcited by 6
  8. 2025MomentSeg: Moment-Centric Sampling for Enhanced Video Pixel Understandingcited by 4

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  1. 2024LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
  2. 2025Enhancing Sa2VA for Referent Video Object Segmentation: 2nd Solution for 7th LSVOS RVOS Track
  3. 20252nd Place Report of MOSEv2 Challenge 2025: Concept Guided Video Object Segmentation via SeC
  4. 2025The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video Segmentation
  5. 2026MLLM-Assisted Audio VOS: A 3rd Place Report for the MeViS-Audio Track, 8th LSVOS Challenge
  6. 2026Multi-Agent Target-Existence Verification and Learned Mask Geometry Refinement: Winning Report of the MeViS-Text Track at the 8th LSVOS Challenge 2026
  7. 2025Advancing Complex Video Object Segmentation via Progressive Concept Construction
  8. 2026AgentRVOS: Reasoning over Object Tracks for Zero-Shot Referring Video Object Segmentation