Video Panoptic Segmentation Information Center
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Background to Video Panoptic Segmentation
Authors: Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon Description: Authors: Andra Petrovai (Technical University of Cluj-Napoca)*; Sergiu Nedevschi (Technical University of Cluj-Napoca) ... To improve computer vision of emerging technologies, University of Michigan researchers are working on Bubblnets: A new deep ... Authors: Inkyu Shin; Dahun Kim; Qihang Yu; Jun Xie; Hong-Seok Kim; Bradley Green; In So Kweon; Kuk-Jin Yoon; Liang-Chieh ... Authors: Qizhu Li, Xiaojuan Qi, Philip H.S. Torr Description: We present an end-to-end network to bridge the gap between training ... Authors: Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen ...
Authors: Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu Description: The task of assigning semantic classes and track identities to every pixel in a video is called ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
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Featured Video Reports & Highlights
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Video Panoptic Segmentation
![[CVPR 2026] Scene-Centric Unsupervised Video Panoptic Segmentation](https://ytimg.googleusercontent.com/vi/lDvgajKB-5w/mqdefault.jpg)
[CVPR 2026] Scene-Centric Unsupervised Video Panoptic Segmentation
Image Segmentation, Semantic Segmentation, Instance Segmentation, and Panoptic Segmentation
Panoptic Segmentation: 6 Typical Real-World Applications and 15 Enabling Datasets
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Last Updated: May 26, 2026
Future Outlook
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![[CVPR 2026] Scene-Centric Unsupervised Video Panoptic Segmentation](https://i0.wp.com/ytimg.googleusercontent.com/vi/lDvgajKB-5w/mqdefault.jpg?resize=320,180)
![[CVPR 2025] Scene-Centric Unsupervised Panoptic Segmentation](https://i0.wp.com/ytimg.googleusercontent.com/vi/ro_tfeUrUFo/mqdefault.jpg?resize=320,180)
