CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track

TL;DR

This paper presents CSS-Segment, a video object segmentation method that achieved second place in the LSVOS Challenge VOS Track at ECCV 2024, demonstrating effectiveness in complex and long-term videos.

Contribution

Introduction of CSS-Segment, a novel approach for video object segmentation that performs well on complex motion and long-term videos, validated through challenge results.

Findings

Achieved a J&F score of 80.84 in the challenge

Ranked 2nd in the LSVOS Challenge VOS Track

Validated effectiveness on complex motion and long-term videos

Abstract

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.