Zobrazeno 1 - 10
of 454
pro vyhledávání: '"A. Mademlis"'
A novel Learning-by-Education Node Community framework (LENC) for Collaborative Knowledge Distillation (CKD) is presented, which facilitates continual collective learning through effective knowledge exchanges among diverse deployed Deep Neural Networ
Externí odkaz:
http://arxiv.org/abs/2410.00074
Autor:
Alimisis, Panagiotis, Mademlis, Ioannis, Radoglou-Grammatikis, Panagiotis, Sarigiannidis, Panagiotis, Papadopoulos, Georgios Th.
Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; thereby, improving the performance and robustness of machine learnin
Externí odkaz:
http://arxiv.org/abs/2407.04103
Autor:
Mademlis, Ioannis, Cani, Jorgen, Mancuso, Marina, Paternoster, Caterina, Adamakis, Emmanouil, Margetis, George, Chambon, Sylvie, Crouzil, Alain, Lechelek, Loubna, Dede, Georgia, Evangelatos, Spyridon, Lalas, George, Mignet, Franck, Linardatos, Pantelis, Kentrotis, Konstantinos, Gierszal, Henryk, Tyczka, Piotr, Karagiorgou, Sophia, Pantelis, George, Stavropoulos, Georgios, Votis, Konstantinos, Papadopoulos, Georgios Th.
Modern technologies have led illicit firearms trafficking to partially merge with cybercrime, while simultaneously permitting its off-line aspects to become more sophisticated. Law enforcement officers face difficult challenges that require hi-tech s
Externí odkaz:
http://arxiv.org/abs/2406.14949
Autor:
Konstantakos, Sotirios, Chalkiadaki, Despina Ioanna, Mademlis, Ioannis, Asano, Yuki M., Gavves, Efstratios, Papadopoulos, Georgios Th.
Self-Supervised Learning (SSL) is a valuable and robust training methodology for contemporary Deep Neural Networks (DNNs), enabling unsupervised pretraining on a `pretext task' that does not require ground-truth labels/annotation. This allows efficie
Externí odkaz:
http://arxiv.org/abs/2404.17202
Autor:
Cani, Jorgen, Mademlis, Ioannis, Chrysochoou, Adamantia Anna Rebolledo, Papadopoulos, Georgios Th.
Illicit object detection is a critical task performed at various high-security locations, including airports, train stations, subways, and ports. The continuous and tedious work of examining thousands of X-ray images per hour can be mentally taxing.
Externí odkaz:
http://arxiv.org/abs/2403.19043
Autor:
Krátký, Vít, Silano, Giuseppe, Vrba, Matouš, Papaioannidis, Christos, Mademlis, Ioannis, Pěnička, Robert, Pitas, Ioannis, Saska, Martin
This paper presents a formation control approach for contactless gesture-based Human-Swarm Interaction (HSI) between a team of multi-rotor Unmanned Aerial Vehicles (UAVs) and a human worker. The approach is designed to monitor the safety of human wor
Externí odkaz:
http://arxiv.org/abs/2403.15333
Autor:
Konstantakos, Sotirios, Chalkiadaki, Despina Ioanna, Mademlis, Ioannis, Chrysochoou, Adamantia Anna Rebolledo, Papadopoulos, Georgios Th.
Automated visual firearms classification from RGB images is an important real-world task with applications in public space security, intelligence gathering and law enforcement investigations. When applied to images massively crawled from the World Wi
Externí odkaz:
http://arxiv.org/abs/2310.07975
Autor:
Mademlis, Ioannis, Batsis, Georgios, Chrysochoou, Adamantia Anna Rebolledo, Papadopoulos, Georgios Th.
Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers in airports, subways, customs/post offices, etc. The large volume and
Externí odkaz:
http://arxiv.org/abs/2310.03658
Publikováno v:
Engineering Applications of Artificial Intelligence, Volume 133, Part C, 2024, 108231, ISSN 0952-1976
The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural Language Processing (NLP) during the past decade. However, the demands of long document analysis are quite different from those of shorter texts, while the ever increasing size
Externí odkaz:
http://arxiv.org/abs/2305.16259
Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers in airports, subways, customs/post offices, etc. The large volume and
Externí odkaz:
http://arxiv.org/abs/2305.01936