In this paper, we investigate how to achieve a high-performance yet lightweight segmentation network for real-time applications. By analyzing three typical segmentation networks, we observe that the segmentation backbones and heads are often …
In this paper, we propose a novel framework to gener-ate high-quality segmentation results in a two-stage style,aiming at video instance segmentation task which requiressimultaneous detection, segmentation and tracking of in-stances. To address …
In this paper, we investigate the principles of consis-tent training, between given reference and predicted se-quence, for better embedding learning of semi-supervisedvideo object segmentation. To accurately segment the tar-get …