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Fast Template Matching and Update for Video Object Tracking and Segmentation
[article]
2020
arXiv
pre-print
In this paper, the main task we aim to tackle is the multi-instance semi-supervised video object segmentation across a sequence of frames where only the first-frame box-level ground-truth is provided. Detection-based algorithms are widely adopted to handle this task, and the challenges lie in the selection of the matching method to predict the result as well as to decide whether to update the target template using the newly predicted result. The existing methods, however, make these selections
arXiv:2004.07538v1
fatcat:zq6vevbrsrdaflewrkimorktxy