Core Concepts
OneVOS proposes a unified framework for Video Object Segmentation using an All-in-One Transformer, achieving state-of-the-art performance across various datasets.
Stats
OneVOS achieves 70.1% J&F score on LVOS dataset.
Extensive experiments demonstrate superiority across 7 datasets.
Quotes
"OneVOS demonstrates a substantial performance advantage even in more challenging scenarios."
"Our model registers a 2.45% improvement in performance over the enhanced baseline."