mlsanityData to 14 Oct 2026

PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild

arXiv 2504.11326 ↗First posted 15 Apr 2025cs.CVcited by 5

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Abstract (arXiv)

This report provides a comprehensive overview of the 4th Pixel-level Video Understanding in the Wild (PVUW) Challenge, held in conjunction with CVPR 2025. It summarizes the challenge outcomes, participating methodologies, and future research directions. The challenge features two tracks: MOSE, which focuses on complex scene video object segmentation, and MeViS, which targets motion-guided, language-based video segmentation. Both tracks introduce new, more challenging datasets designed to better reflect real-world scenarios. Through detailed evaluation and analysis, the challenge offers valuable insights into the current state-of-the-art and emerging trends in complex video segmentation. More information can be found on the workshop website: https://pvuw.github.io/.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 40 of its 51 references that are in the map. First posted on arXiv 15 Apr 2025.

Builds on

40 of 51 references.

References · 40

  1. 2023Visual Instruction Tuningcited by 7,869
  2. 2024Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolutioncited by 4,234
  3. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,332
  4. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  5. 2023InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Taskscited by 2,565
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  10. 2021Vision-Language Transformer and Query Generation for Referring Segmentationcited by 240
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  12. 2018YouTube-VOS: Sequence-to-Sequence Video Object Segmentationcited by 232
28 more
  1. 2023MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressionscited by 228
  2. 2023Towards Open Vocabulary Learning: A Surveycited by 166
  3. 2025Sa2VA: Marrying SAM2 with MLLM for Dense Grounded Understanding of Images and Videoscited by 159
  4. 2021Occluded Video Instance Segmentation: A Benchmarkcited by 154
  5. 2024VISA: Reasoning Video Object Segmentation via Large Language Modelscited by 127
  6. 2023Transformer-Based Visual Segmentation: A Surveycited by 124
  7. 2022VLT: Vision-Language Transformer and Query Generation for Referring Segmentationcited by 111
  8. 2019Boundary-Aware Feature Propagation for Scene Segmentationcited by 107
  9. 2022BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Videocited by 66
  10. 2019Semantic Correlation Promoted Shape-Variant Context for Segmentationcited by 61
  11. 2024Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentationcited by 55
  12. 2024A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Modelscited by 52
  13. 2022Towards Robust Referring Image Segmentationcited by 49
  14. 2022Instance-Specific Feature Propagation for Referring Segmentationcited by 45
  15. 2023GREC: Generalized Referring Expression Comprehensioncited by 42
  16. 2023Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentationcited by 36
  17. 2024SegPoint: Segment Any Point Cloud via Large Language Modelcited by 35
  18. 2025ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundationscited by 30
  19. 2022Video Mask Transfiner for High-Quality Video Instance Segmentationcited by 28
  20. 2024RefMask3D: Language-Guided Transformer for 3D Referring Segmentationcited by 25
  21. 2022Learning Local and Global Temporal Contexts for Video Semantic Segmentationcited by 24
  22. 2023Mask-Free Video Instance Segmentationcited by 20
  23. 20243D-GRES: Generalized 3D Referring Expression Segmentationcited by 18
  24. 2025Exploiting Temporal State Space Sharing for Video Semantic Segmentationcited by 15
  25. 2024PVUW 2024 Challenge on Complex Video Understanding: Methods and Resultscited by 12
  26. 2025Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehensioncited by 12
  27. 2024LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentationcited by 8
  28. 2024UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Trackcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 2.

5 papers.

  1. 2025MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenescited by 62
  2. 2025Dense360: Dense Understanding from Omnidirectional Panoramascited by 9
  3. 2025The SAM2-to-SAM3 Gap in the Segment Anything Model Family: Why Prompt-Based Expertise Fails in Concept-Driven Image Segmentationcited by 2
  4. 2026The 1st Winner for 5th PVUW MeViS-Text Challenge: Strong MLLMs Meet SAM3 for Referring Video Object Segmentationcited by 1
  5. 2026Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understandingcited by 1