2 papers
cs.CV2026
TestMate: Test-Time Domain Adaptation Aided by Lightweight Vision Foundation Model
Dimitrios Fotiou, Vasileios Mygdalis, Ioannis Pitas
Test-Time Domain Adaptation (TTDA) aims to adapt Deep Neural Networks to distribution shifts using only streaming, unlabeled test data in real time. Current methods for semantic se…
cs.CV2026
Concept-based explanations of Segmentation and Detection models in Natural Disaster Management
Samar Heydari, Jawher Said, Galip Ãmit Yolcu +7
Deep learning models for flood and wildfire segmentation and object detection enable precise, real-time disaster localization when deployed on embedded drone platforms. However, in…