Autor: |
Yu, Dongdong, Su, Kai, Guo, Hengkai, Wang, Jian, Zhou, Kaihui, Huang, Yuanyuan, Dong, Minghui, Shao, Jie, Wang, Changhu |
Rok vydání: |
2019 |
Předmět: |
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Druh dokumentu: |
Working Paper |
Popis: |
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. |
Databáze: |
arXiv |
Externí odkaz: |
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