Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Shao-Da Li

h-index 3 View on Semantic Scholar

We have 2 of 14 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Jul 2026

GTSNet: A Global Topography-Aware Segmentation Network for Remote Sensing Identification of Unstable Rock Masses

A dual-modality deep learning network that integrates high-resolution unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) data and introduces DEM-derived terrain-semantic information into optical feature modeling through a multi-scale Topography-aware Fusion Module is proposed.

Baoxiong Lyu, Shao-Da Li, Cheng-Hao Liu et al. · 0 citations
2026

RSUS: A Novel Upsampling Layer for Semantic Segmentation Network of Remote Sensing Images

Semantic segmentation of remote sensing images (RSIs) often struggles with boundary blurring, structural discontinuity, and category confusion due to limitations in conventional interpolation and dynamic upsampling methods. This article proposes RSUS, a new upsampling layer designed to preserve semantic consistency and...

Yaning Liu, Ronghao Yang, Shaoda Li et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.