no code implementations • 4 Jul 2023 • Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev
A common approach in practice to SSL pre-training is utilizing standard pre-training datasets, such as ImageNet.
2 code implementations • 14 Jul 2022 • Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski
We present AiTLAS: Benchmark Arena -- an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO).
1 code implementation • 21 Jan 2022 • Ivica Dimitrovski, Ivan Kitanovski, Panče Panov, Nikola Simidjievski, Dragi Kocev
The AiTLAS toolbox (Artificial Intelligence Toolbox for Earth Observation) includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as repository of AI-ready Earth Observation (EO) datasets.
no code implementations • 27 May 2019 • Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski
We implement two algorithms from the fair ranking literature, namely FA*IR (Zehlike et al., 2017) and DELTR (Zehlike and Castillo, 2018) and provide them as stand-alone libraries in Python and Java.