activity
20192024
most citedResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

2.2k citations · 2.2k across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Tackling fluffy clouds: robust agricultural field boundary delineation from Sentinel-1 and Sentinel-2 satellite image time series

Foivos I. Diakogiannis, Zheng-Shu Zhou, Jeff Wang +13

Accurate delineation of agricultural field boundaries is essential for effective crop monitoring and resource management. However, competing methodologies often face significant ch…

cs.CV2023

SSG2: A new modelling paradigm for semantic segmentation

Foivos I. Diakogiannis, Suzanne Furby, Peter Caccetta +4

State-of-the-art models in semantic segmentation primarily operate on single, static images, generating corresponding segmentation masks. This one-shot approach leaves little room…

cs.RO2023★ 9 cited

Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance

Juan Sandino, Peter A. Caccetta, Conrad Sanderson +2

Recent advances in Unmanned Aerial Vehicles (UAVs) have resulted in their quick adoption for wide a range of civilian applications, including precision agriculture, biosecurity, di…

cs.CV2020★ 2 cited

Looking for change? Roll the Dice and demand Attention

Foivos I. Diakogiannis, François Waldner, Peter Caccetta

Change detection, i.e. identification per pixel of changes for some classes of interest from a set of bi-temporal co-registered images, is a fundamental task in the field of remote…

cs.CV2019★ 2.2k cited

ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

Foivos I. Diakogiannis, François Waldner, Peter Caccetta +1

Scene understanding of high resolution aerial images is of great importance for the task of automated monitoring in various remote sensing applications. Due to the large within-cla…