Multi-Granularity Context Network for Efficient Video Semantic Segmentation

Current video semantic segmentation tasks involve two main challenges: how to take full advantage of multi-frame context information, and how to improve computational efficiency. To tackle the two challenges simultaneously, we present a novel Multi-Granularity Context Network (MGCNet) by aggregating...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 10., Seite 3163-3175
1. Verfasser: Liang, Zhiyuan (VerfasserIn)
Weitere Verfasser: Dai, Xiangdong, Wu, Yiqian, Jin, Xiaogang, Shen, Jianbing
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article