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Unsupervised domain adaptation using transformers for sugarcane rows and gaps detection

Deep learning represented an impressive advance in the field of machine learning and is continually breaking records in dozens of areas of artificial intelligence, such as image recognition. Nevertheless, the success of these architectures depends on a large amount of labeled data and the annotation...
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