Pop‐net: A self‐growth network for popping out the salient object in videos
Abstract It is a big challenge for unsupervised video segmentation without any object annotation or prior knowledge. In this article, we formulate a completely unsupervised video object segmentation network which can pop out the most salient object in an input video by self‐growth, called Pop‐Net. S...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-08-01
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| Series: | IET Computer Vision |
| Online Access: | https://doi.org/10.1049/cvi2.12032 |