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您的检索式：作者名="Benjamin Dumont"
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| 1 | Global Wheat Head Detection 2021:An Improved Dataset for Benchmarking Wheat Head Detection Methods显示文摘The Global Wheat Head Detection(GWHD)dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various acquisition platforms and 7 countries/institutions.With an associated competition hosted in Kaggle,GWHD_2020 has successfully attracted attention from both the computer vision and agricultural science communities.From this first experience,a few avenues for improvements have been identified regarding data size,head diversity,and label reliability.To address these issues,the 2020 dataset has been reexamined,relabeled,and complemented by adding 1722 images from 5 additional countries,allowing for 81,553 additional wheat heads.We now release in 2021 a new version of the Global Wheat Head Detection dataset,which is bigger,more diverse,and less noisy than the GWHD_2020 version. | Etienne David Mario Serouart Daniel Smith Simon Madec Kaaviya Velumani Shouyang Liu Xu Wang Francisco Pinto Shahameh Shafiee Izzat SATahir Hisashi Tsujimoto Shuhei Nasuda Bangyou Zheng Norbert Kirchgessner Helge Aasen Andreas Hund Pouria Sadhegi-Tehran Koichi Nagasawa Goro Ishikawa Sébastien Dandrifosse Alexis Carlier Benjamin Dumont Benoit Mercatoris Byron Evers Ken Kuroki Haozhou Wang Masanori Ishii Minhajul ABadhon Curtis Pozniak David Shaner LeBauer Morten Lillemo Jesse Poland Scott Chapman Benoit de Solan Frédéric Baret Ian Stavness Wei Guo | 2021 | Plant Phenomics2021，3，1： | 2 |
| 2 | 20nm高介电常数金属栅极缺陷减少技术显示文摘介绍了20 nm平面技术生产线前端缺陷减少的方法、结果及改善。介绍的缺陷检测优化与缺陷减少方法是针对高性能逻辑器件所用的300 mm晶圆上的高介电常数金属栅极(HKMG)层叠模块而实施的。 | Vincent Charbois Julie Lebreton Mylène Savoye Eric Labonne Antoine Labourier Benjamin Dumont Chet Lenox Mike von Den Hof | 2017 | 电子工业专用设备2017，0，1： | 1 |
| 3 | Should Patients With Peritoneal Carcinomatosis of Colorectal Origin With Synchronous Liver Metastases Be Treated With a Curative Intent? A Case-Control Study显示文摘 | Léon Maggiori Diane Goéré Benjamin Viana Dimitrios Tzanis Frédéric Dumont Charles Honoré Clarisse Eveno Dominique Elias | 2013 | Annals of Surgery2013，，1： | 1 |
| 4 | Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification显示文摘The automatic segmentation of ears in wheat canopy images is an important step to measure ear density or extract relevant plant traits separately for the different organs.Recent deep learning algorithms appear as promising tools to accurately detect ears in a wide diversity of conditions.However,they remain complicated to implement and necessitate a huge training database.This paper is aimed at proposing an easy and quick to train and robust alternative to segment wheat ears from heading to maturity growth stage. | Alexis Carlier Sebastien Dandrifosse Benjamin Dumont Benoit Mercatoris | 2022 | Plant Phenomics2022，4，1： | 0 |
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