A DenseNet-121 trained with MixStyle, CBAM-based feature alignment, and EMA-teacher distillation achieves 0.8762 balanced accuracy on the MIDOG 2025 Task 2 atypical mitosis classification leaderboard.
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
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Mix, Align, Distil: Reliable Cross-Domain Atypical Mitosis Classification
A DenseNet-121 trained with MixStyle, CBAM-based feature alignment, and EMA-teacher distillation achieves 0.8762 balanced accuracy on the MIDOG 2025 Task 2 atypical mitosis classification leaderboard.