Prohlížení dle Autor Matas, Jiří
Zobrazují se výsledky 1 až 7 z 7
| Datum vydání | Název | Autor |
| 2022 | Automatic Fungi Recognition: Deep Learning Meets Mycology | Picek, Lukáš; Šulc, Milan; Matas, Jiří; Heilmann-Clausen, Jacob; Jeppesen, Thomas S.; Lind, Emil |
| 2022 | Danish Fungi 2020 - Not Just Another Image Recognition Dataset | Picek, Lukáš; Šulc, Milan; Matas, Jiří; Jeppesen, Thomas S.; Heilmann-Clausen, Jacob; Lassoe, Thomas; Froslev, Tobias |
| 2021 | A deep learning method for visual recognition of snake species | Chamidullin, Rail; Šulc, Milan; Matas, Jiří; Picek, Lukáš |
| 2020 | Fungi Recognition: A Practical Use Case | Šulc, Milan; Picek, Lukáš; Matas, Jiří; Jeppesen, Thomas; Heilmann-Clausen, Jacob |
| 2022 | Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem | Picek, Lukáš; Šulc, Milan; Matas, Jiří; Heilmann-Clausen, Jacob |
| 2022 | Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings | Picek, Lukáš; Šulc, Milan; Patel, Yash; Matas, Jiří |
| 2019 | Recognition of the Amazonian flora by Inception Networks with Test-time Class Prior Estimation | Picek, Lukáš; Šulc, Milan; Matas, Jiří |
