Exploiting Temporal State Space Sharing for Video Semantic Segmentation

Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Recommended citation: Syed Ariff Syed Hesham, Yun Liu, Guolei Sun, Henghui Ding, Jing Yang, Ender Konukoglu, Xue Geng, Xudong Jiang (2025). Exploiting Temporal State Space Sharing for Video Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://openaccess.thecvf.com/content/CVPR2025/papers/Hesham_Exploiting_Temporal_State_Space_Sharing_for_Video_Semantic_Segmentation_CVPR_2025_paper.pdf

A Mamba-based architecture that shares temporal states for efficient long-range video semantic segmentation.