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Found 2 papers, 1 papers with code
Mixture of Self-Supervised Learning
Therefore, we propose the Gated Self-Supervised Learning method to improve image classification which use more than one transformation as pretext task and uses the Mixture of Expert architecture as a gating network in combining each pretext task so that the model automatically can study and focus more on the most useful augmentations for classification.
Gated Self-supervised Learning For Improving Supervised Learning
In past research on self-supervised learning for image classification, the use of rotation as an augmentation has been common.
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