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Disambiguation of "Körschens, Matthias"

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Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping.

, , , and . DAGM, volume 14264 of Lecture Notes in Computer Science, page 321-334. Springer, (2023)

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Martin Körschens

Matthias Meyer

Musterbasiertes Re-Engineering von Softwaresystemen. Uni Paderborn, (2009)

Matthias Hägele

Immunrekonstitution nach haploidenter hämatopoetischer Stammzelltransplantation: Einfluss eines CD3-CD19-depletierten gegenüber einem CD34-selektionierten Transplantat. Uni Tübingen, (2008)

Matthias Schmidt

Topographische Verteilung und Morphometrie von retinalen Mikrogliazellen. Uni Münster, (2009)

Matthias Möller

Antikaons in infinite nuclear matter and nuclei. TU Darmstadt, (2007)
 

Other publications of authors with the same name

Weakly Supervised Segmentation Pretraining for Plant Cover Prediction., , , , , , and . GCPR, volume 13024 of Lecture Notes in Computer Science, page 589-603. Springer, (2021)ELPephants: A Fine-Grained Dataset for Elephant Re-Identification., and . ICCV Workshops, page 263-270. IEEE, (2019)Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping., , , and . DAGM, volume 14264 of Lecture Notes in Computer Science, page 321-334. Springer, (2023)Automatic Plant Cover Estimation with Convolutional Neural Networks., , , , , , and . GI-Jahrestagung, volume P-314 of LNI, page 499-516. Gesellschaft für Informatik, Bonn, (2021)Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization., , and . VISIGRAPP (4: VISAPP), page 180-191. SCITEPRESS, (2022)Unified Automatic Plant Cover and Phenology Prediction., , , and . ICCV (Workshops), page 685-693. IEEE, (2023)Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout., , and . ICPR, page 2829-2835. IEEE, (2022)Towards Confirmable Automated Plant Cover Determination., , , , , and . ECCV Workshops (6), volume 12540 of Lecture Notes in Computer Science, page 312-329. Springer, (2020)Determining the community composition of herbaceous species from images using convolutional neural networks., , , , , and . Ecol. Informatics, (2024)