Search Results for author: David Kreil

Found 6 papers, 5 papers with code

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection

no code implementations1 Jun 2022 Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David Kreil

We make the multi-source landslide benchmark data (Landslide4Sense) and the tested DL models publicly available at \url{https://www. iarai. ac. at/landslide4sense}, establishing an important resource for remote sensing, computer vision, and machine learning communities in studies of image classification in general and applications to landslide detection in particular.

Image Classification

Cross-Domain Few-Shot Learning by Representation Fusion

2 code implementations13 Oct 2020 Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter

On the few-shot datasets miniImagenet and tieredImagenet with small domain shifts, CHEF is competitive with state-of-the-art methods.

cross-domain few-shot learning Drug Discovery

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