LoCA (Location Contrastive Alignment), a two-stage pipeline that satisfies two requirements a regularizer must satisfy for location encoding in multimodal regimes: co-alignment across modalities, since adapters alone cannot align independently pretrained encoders; and high effective rank, since the location encoder inh...
Panagiotis Koromilas, Eleanna Vali, Diogenis Antonopoulos et al.· 0 citations
The first comparative study of VLM adaptation strategies for FL in the context of RS image classification is presented, and a guideline for the selection of an appropriate VLM adaptation strategy in FL for RS image classification under different operational constraints is derived.
Simon Lösche, Barış Büyüktaş, M. Adler et al.· 0 citations
This work presents an uncertainty-aware DL framework that jointly captures epistemic (model) and aleatoric ( data) uncertainty to enhance short-term wildfire danger forecasting and significantly improves the accuracy and reliability of wildfire danger forecasting, advancing the development of trustworthy wildfire DL sy...
Spyros Kondylatos, N. Papadopoulos, G. Camps-Valls et al.· Machine Learning: Earth· 5 citations· ⚡1
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.