Item Infomation
Title: | Global video object segmentation with spatial constraint module |
Authors: | Yadang, Chen Duolin, Wang Zhiguo, Chen |
Issue Date: | 2023 |
Publisher: | Springer |
Abstract: | We present a lightweight and efficient semi-supervised video object segmentation network based on the space-time memory framework. To some extent, our method solves the two difficulties encountered in traditional video object segmentation: one is that the single frame calculation time is too long, and the other is that the current frame’s segmentation should use more information from past frames. The algorithm uses a global context (GC) module to achieve high-performance, real-time segmentation. |
Description: | CC BY |
URI: | https://link.springer.com/article/10.1007/s41095-022-0282-8 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7316 |
Appears in Collections | OER - Công nghệ thông tin |
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