Overview of lifeclef 2022: an evaluation of machine-learning based species identification and species distribution prediction A Joly, H Goëau, S Kahl, L Picek, T Lorieul, E Cole, B Deneu, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 60 | 2022 |
Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction A Joly, H Goëau, S Kahl, B Deneu, M Servajean, E Cole, L Picek, ... International Conference of the Cross-Language Evaluation Forum for European …, 2020 | 50 | 2020 |
Danish fungi 2020-not just another image recognition dataset L Picek, M Šulc, J Matas, TS Jeppesen, J Heilmann-Clausen, T Læssøe, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 48 | 2022 |
Automatic Fungi Recognition: Deep Learning Meets Mycology L Picek, M Šulc, J Matas, J Heilmann-Clausen, TS Jeppesen, E Lind Sensors 22 (2), 633, 2022 | 32 | 2022 |
Fungi recognition: a practical use case M Sulc, L Picek, J Matas, T Jeppesen, J Heilmann-Clausen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 28 | 2020 |
Plant Recognition by Inception Networks with Test-time Class Prior Estimation. M Sulc, L Picek, J Matas CLEF (Working Notes), 2018 | 25 | 2018 |
Overview of the SnakeCLEF 2020: Automatic snake species identification challenge L Picek, R Ruiz De Castaneda, AM Durso, PM Sharada CLEF task overview, 2020 | 23 | 2020 |
Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings L Picek, M Šulc, Y Patel, J Matas Frontiers in plant science 13, 787527, 2022 | 20 | 2022 |
Overview of SnakeCLEF 2021: Automatic snake species identification with country-level focus L Picek, AM Durso, I Bolon, RR de Castañeda CEUR-WS, 2021 | 19 | 2021 |
An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetology I Bolon, L Picek, AM Durso, G Alcoba, F Chappuis, R Ruiz de Castañeda PLOS Neglected Tropical Diseases 16 (8), e0010647, 2022 | 16 | 2022 |
Overview of FungiCLEF 2022: Fungi recognition as an open set classification problem L Picek, M Šulc, J Matas, J Heilmann-Clausen CEUR-WS, 2022 | 16 | 2022 |
Overview of lifeclef 2023: evaluation of ai models for the identification and prediction of birds, plants, snakes and fungi A Joly, C Botella, L Picek, S Kahl, H Goëau, B Deneu, D Marcos, ... International Conference of the Cross-Language Evaluation Forum for European …, 2023 | 15 | 2023 |
Recognition of the Amazonian flora by inception networks with test-time class prior estimation L Picek, M Šulc, J Matas CLEF (Working Notes), 2019 | 15 | 2019 |
Lifeclef 2022 teaser: An evaluation of machine-learning based species identification and species distribution prediction A Joly, H Goëau, S Kahl, L Picek, T Lorieul, E Cole, B Deneu, ... European Conference on Information Retrieval, 390-399, 2022 | 11 | 2022 |
Overview of SnakeCLEF 2022: Automated snake species identification on a global scale L Picek, M Hrúz, AM Durso, I Bolon CEUR-WS, 2022 | 11 | 2022 |
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification L Adam, V Čermák, K Papafitsoros, L Picek Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 10* | 2024 |
A deep learning method for visual recognition of snake species R Chamidullin, M Šulc, J Matas, L Picek CEUR-WS, 2021 | 7 | 2021 |
LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges A Joly, H Goëau, S Kahl, L Picek, C Botella, D Marcos, M Šulc, M Hrúz, ... European Conference on Information Retrieval, 568-576, 2023 | 6 | 2023 |
Overview of SnakeCLEF 2023: Snake Identification in Medically Important Scenarios. L Picek, R Chamidullin, M Hrúz, AM Durso CLEF (Working Notes), 1982-1995, 2023 | 5 | 2023 |
Coral Reef annotation, localisation and pixel-wise classification using Mask R-CNN and Bag of Tricks L Picek, A Říha, A Zita CEUR, 2020 | 5 | 2020 |