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From the 1 of 8 linked papers with an AI index.

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8 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…