37 citations · 95 across the 11 of their papers we have counts for
7 papers · 1 filter
Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge
John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris
This paper discusses four facets of the Knowledge Distillation (KD) process for Convolutional Neural Networks (CNNs) and Vision Transformer (ViT) architectures, particularly when e…
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure
Alaa Elobaid, Nathan Ramoly, Lara Younes +3
Biometric Verification (BV) systems often exhibit accuracy disparities across different demographic groups, leading to biases in BV applications. Assessing and quantifying these bi…
Improving Synthetically Generated Image Detection in Cross-Concept Settings
Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris +1
New advancements for the detection of synthetic images are critical for fighting disinformation, as the capabilities of generative AI models continuously evolve and can lead to hyp…
Self-Supervised Video Similarity Learning
Giorgos Kordopatis-Zilos, Giorgos Tolias, Christos Tzelepis +3
We introduce SVS, a video similarity learning approach with self-supervision. Self-Supervised Learning (SSL) is typically used to train deep models on a proxy task so as to hav…
A Multi-Stream Fusion Network for Image Splicing Localization
Maria Siopi, Giorgos Kordopatis-Zilos, Polychronis Charitidis +2
In this paper, we address the problem of image splicing localization with a multi-stream network architecture that processes the raw RGB image in parallel with other handcrafted fo…
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…