39 citations · 87 across the 16 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning
Zobia Batool, Huseyin Ozkan, Erchan Aptoula
Although Alzheimer's disease detection via MRIs has advanced significantly thanks to contemporary deep learning models, challenges such as class imbalance, protocol variations, and…
Distance Transform Guided Mixup for Alzheimer's Detection
Zobia Batool, Huseyin Ozkan, Erchan Aptoula
Alzheimer's detection efforts aim to develop accurate models for early disease diagnosis. Significant advances have been achieved with convolutional neural networks and vision tran…
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…