CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866909294858862592 |
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| author | Chai, Jinming Ma, Qin Zhang, Junpei Jiao, Licheng Liu, Fang |
| author_facet | Chai, Jinming Ma, Qin Zhang, Junpei Jiao, Licheng Liu, Fang |
| contents | Video object segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. In this technical report, we briefly introduce the solution of our team "yuanjie" for video object segmentation in the 6-th LSVOS Challenge VOS Track at ECCV 2024. We believe that our proposed CSS-Segment will perform better in videos of complex object motion and long-term presentation. In this report, we successfully validated the effectiveness of the CSS-Segment in video object segmentation. Finally, our method achieved a J\&F score of 80.84 in and test phases, and ultimately ranked 2nd in the 6-th LSVOS Challenge VOS Track at ECCV 2024. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2408_13582 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track Chai, Jinming Ma, Qin Zhang, Junpei Jiao, Licheng Liu, Fang Computer Vision and Pattern Recognition Video object segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. In this technical report, we briefly introduce the solution of our team "yuanjie" for video object segmentation in the 6-th LSVOS Challenge VOS Track at ECCV 2024. We believe that our proposed CSS-Segment will perform better in videos of complex object motion and long-term presentation. In this report, we successfully validated the effectiveness of the CSS-Segment in video object segmentation. Finally, our method achieved a J\&F score of 80.84 in and test phases, and ultimately ranked 2nd in the 6-th LSVOS Challenge VOS Track at ECCV 2024. |
| title | CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2408.13582 |