Fig. 1
From: Ambiguity-aware semi-supervised learning for leaf disease classification
Overview of the proposed ambiguity-aware semi-supervised learning for leaf disease classification. By integrating ambiguity rejection, ambiguous results are eliminated, thereby increasing the precision of both the pseudo-labeled results and the final classification results.
