Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

This paper presents Video K-Net, a simple, strong, and unified framework for fully end-to-end video panoptic seg-mentation. The method is built upon K-Net, a method that unifies image segmentation via a group of learnable ker-nels. We observe that these learnable kernels from K-Net, which encode obj...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 18825 - 18835
Hlavní autori:	Li, Xiangtai, Zhang, Wenwei, Pang, Jiangmiao, Chen, Kai, Cheng, Guangliang, Tong, Yunhai, Loy, Chen Change
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	Fuses grouping and shape analysis; Video analysis and understanding; Vision applications and systems Image analysis Image segmentation Machine vision Pipelines Scene analysis and understanding; Segmentation Semantics Shape
ISSN:	1063-6919
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