第一届 Agriculture-Vision 挑战赛：方法与结果
计算机视觉与模式识别
2020-04-24 v2 机器学习
图像与视频处理
摘要
第一届 Agriculture-Vision 挑战赛旨在鼓励开发新颖有效的算法，用于从航空图像中进行农业模式识别，尤其是与我们的挑战赛数据集相关的语义分割任务。来自不同国家的约 57 支参赛队伍竞争，以期在航空农业语义分割领域达到 SOTA。比赛采用了 Agriculture-Vision 挑战赛数据集，该数据集包含 21,061 张航空多光谱农田图像。本文总结了本次挑战赛中值得注意的方法和结果。我们的提交服务器和排行榜将继续对对此挑战赛数据集和任务感兴趣的研究人员开放；链接可在此处找到。
引用
@article{arxiv.2004.09754,
title = {The 1st Agriculture-Vision Challenge: Methods and Results},
author = {Mang Tik Chiu and Xingqian Xu and Kai Wang and Jennifer Hobbs and Naira Hovakimyan and Thomas S. Huang and Honghui Shi and Yunchao Wei and Zilong Huang and Alexander Schwing and Robert Brunner and Ivan Dozier and Wyatt Dozier and Karen Ghandilyan and David Wilson and Hyunseong Park and Junhee Kim and Sungho Kim and Qinghui Liu and Michael C. Kampffmeyer and Robert Jenssen and Arnt B. Salberg and Alexandre Barbosa and Rodrigo Trevisan and Bingchen Zhao and Shaozuo Yu and Siwei Yang and Yin Wang and Hao Sheng and Xiao Chen and Jingyi Su and Ram Rajagopal and Andrew Ng and Van Thong Huynh and Soo-Hyung Kim and In-Seop Na and Ujjwal Baid and Shubham Innani and Prasad Dutande and Bhakti Baheti and Sanjay Talbar and Jianyu Tang},
journal= {arXiv preprint arXiv:2004.09754},
year = {2020}
}
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CVPR 2020 Workshop