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Self-supervised pretraining is the method of choice for natural language processing models and is rapidly gaining popularity in many vision tasks.
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Context encoders: Feature learning by inpainting
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Colorful image colorization
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Loss functions for image restoration with neural networks
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Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, et al · 2020
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Self-supervised relational reasoning for representation learning
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Training data-efficient image transformers & distillation through attention
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