Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 548173
Title Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery
Author(s) Kellenberger, Benjamin; Marcos, Diego; Tuia, Devis
Source In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. - Springer Verlag (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ) - ISBN 9783030109967 - p. 630 - 634.
Event European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2018, Dublin, 2018-09-10/2018-09-14
DOI https://doi.org/10.1007/978-3-030-10997-4_40
Department(s) Laboratory of Geo-information Science and Remote Sensing
PE&RC
Publication type Contribution in proceedings
Publication year 2019
Keyword(s) Class imbalance - Deep learning - Unmanned Aerial Vehicles
Abstract

We introduce recommendations to train a Convolutional Neural Network for grid-based detection on a dataset that has a substantial class imbalance. These include curriculum learning, hard negative mining, a special border class, and more. We evaluate the recommendations on the problem of animal detection in aerial images, where we obtain an increase in precision from 9% to 40% at high recalls, compared to state-of-the-art. Data related to this paper are available at: http://doi.org/10.5281/zenodo.609023.

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