SCTNet-NAS: efficient semantic segmentation via neural architecture search for cloud-edge collaborative perception

SCTNet-NAS: efficient semantic segmentation via neural architecture search for cloud-edge collaborative perception

Abstract Efficient semantic segmentation on edge devices is critical for cloud-edge perception, yet achieving high accuracy under resource constraints remains challenging. To alleviate this problem, this paper presents SCTNet-NAS, a novel framework for efficient edge segmentation via cloud-edge co-o...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruyu Liu, Lin Wang, Zhihao Yu, Haoyu Zhang, Xiufeng Liu, Bo Sun, Xv Huo, Jianhua Zhang
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Complex & Intelligent Systems
Subjects:
Semantic segmentation
Neural architecture search
Knowledge distillation
Edge computing
Cloud-edge collaboration
Online Access:https://doi.org/10.1007/s40747-025-01996-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s40747-025-01996-5

Similar Items