142 citations · 264 across the 8 of their papers we have counts for
3 papers · 1 filter
NA-SODINN: a deep learning algorithm for exoplanet image detection based on residual noise regimes
Carles Cantero, Olivier Absil, Carl-Henrik Dahlqvist +1
Supervised deep learning was recently introduced in high-contrast imaging (HCI) through the SODINN algorithm, a convolutional neural network designed for exoplanet detection in ang…
Exoplanet Imaging Data Challenge, phase II: Characterization of exoplanet signals in high-contrast images
F. Cantalloube, V. Christiaens, C. Cantero +10
Today, there exists a wide variety of algorithms dedicated to high-contrast imaging, especially for the detection and characterisation of exoplanet signals. These algorithms are ta…
Exoplanet Imaging Data Challenge: benchmarking the various image processing methods for exoplanet detection
F. Cantalloube, C. Gomez-Gonzalez, O. Absil +23
The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct…