. Example result of our technique: The segmentation of the first frame (red) is used to learn the model of the specific object to track, which is segmented in the rest of the frames independently (green). One every 20 frames shown of 90 in total.  Abstract This paper tackles the task of semi-supervised video ob-
On the other side, OSVOS REF ) tries to solve the task of semi-supervised video object segmentation.
One-Shot Video Object Segmentation
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Computer Science