Towards Good Practices for Video Object Segmentation

Autor: Yu, Dongdong, Su, Kai, Guo, Hengkai, Wang, Jian, Zhou, Kaihui, Huang, Yuanyuan, Dong, Minghui, Shao, Jie, Wang, Changhu
Rok vydání: 2019
Předmět:
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