Towards Good Practices for Video Object Segmentation

Towards Good Practices for Video Object Segmentation

Semi-supervised video object segmentation is an interesting yet challenging task in machine learning. In this work, we conduct a series of refinements with the propagation-based video object segmentation method and empirically evaluate their impact on the final model performance through ablation stu...

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Veröffentlicht in:arXiv.org 2019-09
Hauptverfasser: Yu, Dongdong, Su, Kai, Guo, Hengkai, Wang, Jian, Zhou, Kaihui, Huang, Yuanyuan, Dong, Minghui, Shao, Jie, Wang, Changhu
Format: Artikel
Sprache:eng
Schlagworte:
Ablation
Machine learning
Segmentation
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Zusammenfassung:Semi-supervised video object segmentation is an interesting yet challenging task in machine learning. In this work, we conduct a series of refinements with the propagation-based video object segmentation method and empirically evaluate their impact on the final model performance through ablation study. By taking all the refinements, we improve the space-time memory networks to achieve a Overall of 79.1 on the Youtube-VOS Challenge 2019.
ISSN:2331-8422