3 papers
cs.CV2024
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya
Unsupervised domain adaptation (UDA) is a challenging open problem in land cover mapping. Previous studies show encouraging progress in addressing cross-domain distribution shifts…
cs.CV2023
Submeter-level Land Cover Mapping of Japan
Naoto Yokoya, Junshi Xia, Clifford Broni-Bediako
Deep learning has shown promising performance in submeter-level mapping tasks; however, the annotation cost of submeter-level imagery remains a challenge, especially when applied o…
cs.CV2023
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing
Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya
Real-time semantic segmentation of remote sensing imagery is a challenging task that requires a trade-off between effectiveness and efficiency. It has many applications including t…