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cs.CV2025
E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting
Samuel Felipe dos Santos, Tiago Agostinho de Almeida, Jurandy Almeida
Universal Domain Adaptation (UniDA) seeks to transfer knowledge from a labeled source to an unlabeled target domain without assuming any relationship between their label sets, requ…
cs.CV2023★ 9 cited
Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results
Eduardo Nascimento, John Just, Jurandy Almeida +1
In precision agriculture, detecting productive crop fields is an essential practice that allows the farmer to evaluate operating performance separately and compare different seed v…