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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Bibliographic Details
Main Authors: Li, Xiangtai, Zhang, Wenwei, Pang, Jiangmiao, Chen, Kai, Cheng, Guangliang, Tong, Yunhai, Loy, Chen Change
Format: Conference Proceeding
Language:English
Subjects:
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
Online Access:Request full text
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