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The Agriculture-Vision Challenge in CVPR is one of the most famous andcompetitive challenges for global researchers to break the boundary betweencomputer vision and agriculture sectors, aiming at agricultural patternrecognition from aerial images. In this paper, we propose our solution to thethird Agriculture-Vision Challenge in CVPR 2022. We leverage a datapre-processing scheme and several Transformer-based models as well as dataaugmentation techniques to achieve a mIoU of 0.582, accomplishing the 2nd placein this challenge.

Agriculture-Vision Challenge 2022 -- The Runner-Up Solution for Agricultural Pattern Recognition via Transformer-based Models