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Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods.

, , , , , , , , , , , , , , , , and . CoRR, (2020)

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A new large dataset and a transfer learning methodology for plant phenotyping in Vertical Farms., , , , , and . ICCV (Workshops), page 540-551. IEEE, (2023)Identifiability of discrete input-output hidden Markov models with external signals., , , and . Stat. Comput., 34 (1): 54 (February 2024)Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity., , , , , , , , , and 25 other author(s). CoRR, (2021)Extending the WILDS Benchmark for Unsupervised Adaptation., , , , , , , , , and 10 other author(s). CoRR, (2021)WILDS: A Benchmark of in-the-Wild Distribution Shifts., , , , , , , , , and 13 other author(s). ICML, volume 139 of Proceedings of Machine Learning Research, page 5637-5664. PMLR, (2021)Global Wheat Challenge 2020: Analysis of the competition design and winning models., , , , and . CoRR, (2021)Domain Adaptation for Plant Organ Detection with Style Transfer., , , , , , , and . DICTA, page 1-9. IEEE, (2021)Extending the WILDS Benchmark for Unsupervised Adaptation., , , , , , , , , and 10 other author(s). ICLR, OpenReview.net, (2022)Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods., , , , , , , , , and 7 other author(s). CoRR, (2020)OPALE: Operational assessment of landscape water eco-functionalities., , , , , , , and . Environ. Model. Softw., (2022)