PEPL refines pseudo-labels via CAM-based semantic estimation in two phases to reach state-of-the-art accuracy in semi-supervised fine-grained image classification.
A realistic evaluation of semi-supervised learning for fine-grained classification
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PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
PEPL refines pseudo-labels via CAM-based semantic estimation in two phases to reach state-of-the-art accuracy in semi-supervised fine-grained image classification.