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Masked Feature Prediction for Self-Supervised Visual Pre ...

deep network or teacher. As predicting two-stage targets is effectively learning from a trained deep network teacher, it resembles a form of model distillation [48]; thereby, an ex-tra computational cost of pre-training and inference of the teacher model is inevitable. The five feature types are: Pixel colors. The most straightforward target ...

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