2020
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement
NeurIPS 2020poster
This paper presents a new matching-based framework for semi-supervised video object segmentation (VOS). Recently, state-of-the-art VOS performance has been achieved by matching-based algorithms, in which feature banks are created to store features for region matching and classification. However, how…