Apr 18, 2019 · We propose a novel approach, based on a dedicated target appearance model that is exclusively learned online to discriminate between the target and background ...
This work proposes a novel approach to video object segmentation, based on a dedicated target appearance model that is exclusively learned online to ...
Sep 8, 2024 · We address the highly challenging problem of video object segmentation. Given only the initial mask, the task is to segment the target in ...
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What is video object segmentation?
What is unsupervised video object segmentation?
This work addresses the problem of fast, online segmentation of moving objects in video. We pose this as a discriminative online semi-supervised appearance ...
Our main contribution is an autonomous, semi-supervised online learning ap- proach for fast and dense segmentation of moving objects in a video sequence.
May 31, 2024 · This study proposes to form an effective feature representation of the current frame through global and local discriminative perspectives.
Our approach integrates a light-weight discriminative target model and a segmentation network, for modeling the target appearance and generating accurate ...
Our main contribution is an autonomous, semi-supervised online learning ap- proach for fast and dense segmentation of moving objects in a video sequence.
Discriminative online learning for fast video object segmentation. A Robinson, FJ Lawin, M Danelljan, FS Khan, M Felsberg. arXiv preprint arXiv:1904.08630 ...
The discriminative label generation module first multiplies the past frame-mask pairs to form the BFFs, and then encodes the BFFs into two complementary target ...