From the 1 of 8 linked papers with an AI index.
8 papers
Label-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification
Alaa Almouradi, Erchan Aptoula
The paper introduces a label‑decoupled style augmentation method that perturbs feature statistics only within label‑specific regions to improve domain generalization for multi‑labe…
MARC: Multi-Label Adaptive Retrieval Contrastive Loss for Remote Sensing Images
Amna Amir, Erchan Aptoula
Semantic overlap among land-cover categories, highly imbalanced label distributions, and complex inter-class co-occurrence patterns constitute significant challenges for multi-labe…
Higher-Order Domain Generalization in Magnetic Resonance-Based Assessment of Alzheimer's Disease
Zobia Batool, Diala Lteif, Vijaya B. Kolachalama +2
Despite progress in deep learning for Alzheimer's disease (AD) diagnostics, models trained on structural magnetic resonance imaging (sMRI) often do not perform well when applied to…
Open-Set Domain Generalization through Spectral-Spatial Uncertainty Disentanglement for Hyperspectral Image Classification
Amirreza Khoshbakht, Erchan Aptoula
Open-set domain generalization (OSDG) tackles the dual challenge of recognizing unknown classes while simultaneously striving to generalize across unseen domains without using targ…
Efficient Remote Sensing Change Detection with Change State Space Models
Elman Ghazaei, Erchan Aptoula
Despite their frequent use for change detection, both ConvNets and Vision transformers (ViT) exhibit well-known limitations, namely the former struggle to model long-range dependen…
Text-conditioned State Space Model For Domain-generalized Change Detection Visual Question Answering
Elman Ghazaei, Erchan Aptoula
The Earth's surface is constantly changing, and detecting these changes provides valuable insights that benefit various aspects of human society. While traditional change detection…