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Tagged with self-supervised-learning semi-supervised-learning
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Approaches for semi-supervised fine-tuning after self-supervised pre-training
My understanding is that self-supervised learning approaches approximately work like the following (I have Wav2Vec 2 in my mind here, used in speech recognition, but NLP transformer models are similar)...
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What are the SOTA Visual Representation Learning architectures for binary images?
I want to learn the visual representation of binary images such as:
This may later be used for the shape classification problem. I have read 2 state-of-the-art visual representation learning ...
