Fast online object tracking and segmentation: A unifying approach
In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach. Our method, dubbed SiamMask, improves the offline training procedure of popular fully-convolutional Siamese approaches for object trackin...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference item |
| Published: |
IEEE
2020
|