An asymmetric multi-level distillation framework lets a student ViT approximate clean-image representations from distorted inputs alone, outperforming prior methods on classification under distortions.
In: International Conference on Learning Representations (2018)
2 Pith papers cite this work. Polarity classification is still indexing.
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