论文标题
农业视觉挑战2022年 - 通过基于变压器的模型的农业模式识别的亚军解决方案
Agriculture-Vision Challenge 2022 -- The Runner-Up Solution for Agricultural Pattern Recognition via Transformer-based Models
论文作者
论文摘要
CVPR中的农业视觉挑战是全球研究人员打破计算机视觉和农业领域之间边界的最著名和竞争性挑战之一，目的是从空中图像中识别农业模式。在本文中，我们建议解决CVPR 2022年第三次农业视觉挑战的解决方案。我们利用数据预处理方案和几种基于变压器的模型以及数据增强技术来实现0.582的MIOU，在此挑战中完成了第二名。
The Agriculture-Vision Challenge in CVPR is one of the most famous and competitive challenges for global researchers to break the boundary between computer vision and agriculture sectors, aiming at agricultural pattern recognition from aerial images. In this paper, we propose our solution to the third Agriculture-Vision Challenge in CVPR 2022. We leverage a data pre-processing scheme and several Transformer-based models as well as data augmentation techniques to achieve a mIoU of 0.582, accomplishing the 2nd place in this challenge.
