IEEE

Unsupervised Domain Adaptation for VHR Urban Scene Segmentation via Prompted Foundation Model-Based Hybrid Training Joint-Optimized Network

Abstract: Unsupervised domain adaptation for remote sensing semantic segmentation (UDA-RSSeg) is to adapt a model trained on the source-domain data to the target-domain samples, thereby minimizing the ...
SciELO

Machine Learning based literature review of Land Administration Domain Model (LADM): a structural topic modelling approach

The Land Administration Domain Model (LADM) standardizes land management by integrating legal, spatial, and administrative information. This study examines LADM-related research using Structural Topic ...
IEEE

One-for-All: Towards Universal Domain Translation With a Single StyleGAN

Abstract: In this paper, we propose a novel translation model, UniTranslator, for transforming representations between visually distinct domains under conditions of limited training data and ...