3 papers
cs.CV2025
InDistill: Information flow-preserving knowledge distillation for model compression
Ioannis Sarridis, Christos Koutlis, Giorgos Kordopatis-Zilos +2
In this paper, we introduce InDistill, a method that serves as a warmup stage for enhancing Knowledge Distillation (KD) effectiveness. InDistill focuses on transferring critical in…
cs.CV2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris +1
Deep learning techniques have achieved significant success in Synthetic Aperture Radar (SAR) target recognition using predefined datasets in static scenarios. However, real-world a…
cs.CV2024
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1
Bias in computer vision systems can perpetuate or even amplify discrimination against certain populations. Considering that bias is often introduced by biased visual datasets, many…