24 citations · 47 across the 16 of their papers we have counts for
5 papers · 1 filter
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
Iason Katsamenis, Eftychios Protopapadakis, Nikolaos Bakalos +3
Recent studies indicate that deep learning plays a crucial role in the automated visual inspection of road infrastructures. However, current learning schemes are static, implying n…
TraCon: A novel dataset for real-time traffic cones detection using deep learning
Iason Katsamenis, Eleni Eirini Karolou, Agapi Davradou +4
Substantial progress has been made in the field of object detection in road scenes. However, it is mainly focused on vehicles and pedestrians. To this end, we investigate traffic c…
Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments
Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis +3
In this paper, we scrutinize the effectiveness of various clustering techniques, investigating their applicability in Cultural Heritage monitoring applications. In the context of t…
Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation
Iason Katsamenis, Eftychios Protopapadakis, Anastasios Doulamis +2
Corrosion detection on metal constructions is a major challenge in civil engineering for quick, safe and effective inspection. Existing image analysis approaches tend to place boun…
Semi-Supervised Fine-Tuning for Deep Learning Models in Remote Sensing Applications
Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis +1
A combinatory approach of two well-known fields: deep learning and semi supervised learning is presented, to tackle the land cover identification problem. The proposed methodology…