NTIRE 2021 多模态航拍视角目标分类挑战赛
计算机视觉与模式识别
2022-04-07 v3 机器学习
摘要
本文中，我们介绍了在 CVPR 的 NTIRE 2021 研讨会期间举办的首届多模态航拍视角目标分类（MAVOC）挑战赛。该挑战赛由使用光电（EO）与合成孔径雷达（SAR）影像的两个不同赛道组成。EO 与 SAR 传感器各有优势与不足。本竞赛旨在分析如何以互补方式利用这两组传感信息。我们讨论了为本竞赛提交的最优方法，并在我们的盲测试集上评估其结果。我们的挑战赛结果显示，相较各赛道的当前基线，准确率显著提升超过 15%。
引用
@article{arxiv.2107.01189,
title = {NTIRE 2021 Multi-modal Aerial View Object Classification Challenge},
author = {Jerrick Liu and Nathan Inkawhich and Oliver Nina and Radu Timofte and Sahil Jain and Bob Lee and Yuru Duan and Wei Wei and Lei Zhang and Songzheng Xu and Yuxuan Sun and Jiaqi Tang and Xueli Geng and Mengru Ma and Gongzhe Li and Xueli Geng and Huanqia Cai and Chengxue Cai and Sol Cummings and Casian Miron and Alexandru Pasarica and Cheng-Yen Yang and Hung-Min Hsu and Jiarui Cai and Jie Mei and Chia-Ying Yeh and Jenq-Neng Hwang and Michael Xin and Zhongkai Shangguan and Zihe Zheng and Xu Yifei and Lehan Yang and Kele Xu and Min Feng},
journal= {arXiv preprint arXiv:2107.01189},
year = {2022}
}
备注
The paper needs to be withdrawn since it did not properly go through the public release process. We will soon release a new version to replace this one