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ORCIDVincent J. Kalkman
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2020 – today
- 2024
[c1]Laurens E. Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, Ludo Cornelissen, Jacob W. Kamminga:
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification. CVPR Workshops 2024: 3971-3980- [i4]Laurens E. Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, Ludo Cornelissen, Jacob W. Kamminga:
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification. CoRR abs/2403.06874 (2024) - [i3]Rita Pucci, Vincent J. Kalkman, Dan Stowell:
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images. CoRR abs/2404.03474 (2024) - [i2]Burooj Ghani, Vincent J. Kalkman, Bob Planqué, Willem-Pier Vellinga, Lisa F. Gill, Dan Stowell:
Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics. CoRR abs/2409.15383 (2024) - 2023
- [i1]Rita Pucci, Vincent J. Kalkman, Dan Stowell:
Comparison between transformers and convolutional models for fine-grained classification of insects. CoRR abs/2307.11112 (2023)
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