Search Results for author: Konstantinos Karantzalos

Found 6 papers, 3 papers with code

What to Hide from Your Students: Attention-Guided Masked Image Modeling

no code implementations23 Mar 2022 Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis

Transformers and masked language modeling are quickly being adopted and explored in computer vision as vision transformers and masked image modeling (MIM).

Language Modelling Masked Language Modeling +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.

Multi-Label Classification Weakly supervised segmentation +1

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 #4 on Metric Learning on In-Shop (using extra training data)

Data Augmentation Metric Learning +1

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 Multi-Label Classification

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

3 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.

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