Follow
Matthias Körschens
Title
Cited by
Cited by
Year
Towards automatic identification of elephants in the wild
M Körschens, B Barz, J Denzler
arXiv preprint arXiv:1812.04418, 2018
512018
Elpephants: A fine-grained dataset for elephant re-identification
M Korschens, J Denzler
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
362019
Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—individual identification and …
P Bodesheim, J Blunk, M Körschens, CA Brust, C Käding, J Denzler
Mammalian Biology 102 (3), 875-897, 2022
142022
Towards confirmable automated plant cover determination
M Körschens, P Bodesheim, C Römermann, SF Bucher, J Ulrich, ...
European Conference on Computer Vision, 312-329, 2020
52020
Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization.
M Körschens, P Bodesheim, J Denzler
VISIGRAPP (4: VISAPP), 180-191, 2022
42022
Weakly supervised segmentation pretraining for plant cover prediction
M Körschens, P Bodesheim, C Römermann, SF Bucher, M Migliavacca, ...
DAGM German Conference on Pattern Recognition, 589-603, 2021
42021
Automatic plant cover estimation with convolutional neural networks
M Körschens, P Bodesheim, C Römermann, SF Bucher, M Migliavacca, ...
arXiv preprint arXiv:2106.11154, 2021
32021
Determining the community composition of herbaceous species from images using convolutional neural networks
M Körschens, SF Bucher, P Bodesheim, J Ulrich, J Denzler, ...
Ecological Informatics, 102516, 2024
12024
Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout
M Körschens, P Bodesheim, J Denzler
2022 26th International Conference on Pattern Recognition (ICPR), 2829-2835, 2022
12022
Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping
M Körschens, SF Bucher, C Römermann, J Denzler
DAGM German Conference on Pattern Recognition, 321-334, 2023
2023
Unified Automatic Plant Cover and Phenology Prediction
M Körschens, SF Bucher, C Römermann, J Denzler
Proceedings of the IEEE/CVF International Conference on Computer Vision, 685-693, 2023
2023
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
B Gruner, M Körschens, B Barz, J Denzler
arXiv preprint arXiv:2110.11778, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–12