1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation
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Abstract (arXiv)
Motion Expression guided Video Segmentation (MeViS), as an emerging task, poses many new challenges to the field of referring video object segmentation (RVOS). In this technical report, we investigated and validated the effectiveness of static-dominant data and frame sampling on this challenging setting. Our solution achieves a J&F score of 0.5447 in the competition phase and ranks 1st in the MeViS track of the PVUW Challenge. The code is available at: https://github.com/Tapall-AI/MeViS_Track_Solution_2024.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 26 of its 30 references that are in the map. First posted on arXiv 11 Jun 2024.
Builds on
26 of 30 references.
References · 26
- 2020End-to-End Object Detection with Transformerscited by 7,384
- 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,410
- 2016Modeling Context in Referring Expressionscited by 1,054
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- 2023MOSE: A New Dataset for Video Object Segmentation in Complex Scenescited by 232
- 2021Associating Objects with Transformers for Video Object Segmentationcited by 225
- 2023MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressionscited by 225
- 2023Universal Instance Perception as Object Discovery and Retrievalcited by 190
- 2023Putting the Object Back into Video Object Segmentationcited by 182
- 2022Language as Queries for Referring Video Object Segmentationcited by 180
14 more
- 2018Video Object Segmentation with Language Referring Expressionscited by 161
- 2021End-to-End Referring Video Object Segmentation with Multimodal Transformerscited by 135
- 2020Kernelized Memory Network for Video Object Segmentationcited by 111
- 2018Actor and Action Video Segmentation from a Sentencecited by 105
- 2022VITA: Video Instance Segmentation via Object Token Associationcited by 94
- 2023SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentationcited by 57
- 2024Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentationcited by 55
- 2023Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentationcited by 54
- 2022Towards Robust Referring Video Object Segmentation with Cyclic Relational Consensuscited by 49
- 2023Spectrum-guided Multi-granularity Referring Video Object Segmentationcited by 48
- 2024LVOS: A Benchmark for Large-scale Long-term Video Object Segmentationcited by 41
- 2022Scalable Video Object Segmentation with Identification Mechanismcited by 18
- 2023Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samplescited by 6
- 20241st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentationcited by 2
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Citing papers per year: 2024: 2.
2 papers.