June 27, 2022, 1:11 a.m. | Zhicheng Yang, Jui-Hsin Lai, Jun Zhou, Hang Zhou, Chen Du, Zhongcheng Lai

cs.CV updates on arXiv.org arxiv.org

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.

agriculture arxiv challenge cv solution transformer vision

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