8 citations · 8 across the 2 of their papers we have counts for
3 papers
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
Eirini Cholopoulou, Dimitris K. Iakovidis
Anomaly detection (AD) plays a pivotal role in multimedia applications for detecting defective products and automating quality inspection. Deep learning (DL) models typically requi…
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal
Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou +1
Effective shadow removal is pivotal in enhancing the visual quality of images in various applications, ranging from computer vision to digital photography. During the last decades…
E Pluribus Unum Interpretable Convolutional Neural Networks
George Dimas, Eirini Cholopoulou, Dimitris K. Iakovidis
The adoption of Convolutional Neural Network (CNN) models in high-stake domains is hindered by their inability to meet society's demand for transparency in decision-making. So far,…