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

2022/06/23 by Zhicheng Yang, Yang, Zhicheng, Jui-Hsin Lai +9 · 1 citation
Agricultural and Biological Sciences · Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Smart Agriculture and AI

paper · pdf · doi:10.48550/arxiv.2206.11920

openalex publication_date 2022/06/23 · openalex created_date 2022/06/29 · openalex updated_date 2026/07/28

Abstract

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.

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