Search Results for author: Konstantinos Karantzalos

Found 14 papers, 9 papers with code

FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2

1 code implementation6 Nov 2023 Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail, Ioannis Papoutsis

We use FLOGA to provide a thorough comparison of multiple Machine Learning and Deep Learning algorithms for the automatic extraction of burnt areas, approached as a change detection task.

Change Detection

Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?

1 code implementation ICCV 2023 Bill Psomas, Ioannis Kakogeorgiou, Konstantinos Karantzalos, Yannis Avrithis

By discussing the properties of each group of methods, we derive SimPool, a simple attention-based pooling mechanism as a replacement of the default one for both convolutional and transformer encoders.

Image Classification Image Retrieval +5

Seafloor-Invariant Caustics Removal from Underwater Imagery

no code implementations20 Dec 2022 Panagiotis Agrafiotis, Konstantinos Karantzalos, Andreas Georgopoulos

Mapping the seafloor with underwater imaging cameras is of significant importance for various applications including marine engineering, geology, geomorphology, archaeology and biology.

3D Reconstruction

Transformer-based assignment decision network for multiple object tracking

1 code implementation6 Aug 2022 Athena Psalta, Vasileios Tsironis, Konstantinos Karantzalos

Data association is a crucial component for any multiple object tracking (MOT) method that follows the tracking-by-detection paradigm.

Multiple Object Tracking Occlusion Handling +1

MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data

1 code implementation Plos one journal 2022 Katerina Kikaki, Ioannis Kakogeorgiou, Paraskevi Mikeli, Dionysios E. Raitsos, Konstantinos Karantzalos

Currently, a significant amount of research is focused on detecting Marine Debris and assessing its spectral behaviour via remote sensing, ultimately aiming at new operational monitoring solutions.

Image Segmentation Multi-Label Classification +3

It Takes Two to Tango: Mixup for Deep Metric Learning

1 code implementation ICLR 2022 Shashanka Venkataramanan, Bill Psomas, Ewa Kijak, Laurent Amsaleg, Konstantinos Karantzalos, Yannis Avrithis

In this work, we aim to bridge this gap and improve representations using mixup, which is a powerful data augmentation approach interpolating two or more examples and corresponding target labels at a time.

Ranked #8 on Metric Learning on CUB-200-2011 (using extra training data)

Data Augmentation Metric Learning +2

Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing

no code implementations3 Apr 2021 Ioannis Kakogeorgiou, Konstantinos Karantzalos

Although deep neural networks hold the state-of-the-art in several remote sensing tasks, their black-box operation hinders the understanding of their decisions, concealing any bias and other shortcomings in datasets and model performance.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data

4 code implementations17 Oct 2019 Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos

\begin{abstract} The advent of multitemporal high resolution data, like the Copernicus Sentinel-2, has enhanced significantly the potential of monitoring the earth's surface and environmental dynamics.

Change Detection

Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning

no code implementations27 Feb 2019 Panagiotis Agrafiotis, Dimitrios Skarlatos, Andreas Georgopoulos, Konstantinos Karantzalos

The determination of accurate bathymetric information is a key element for near offshore activities, hydrological studies such as coastal engineering applications, sedimentary processes, hydrographic surveying as well as archaeological mapping and biological research.

BIG-bench Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.