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Found 2 papers, 1 papers with code
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
In this paper, we consider a problem of self-supervised learning for small-scale datasets based on contrastive loss between multiple views of the data, which demonstrates the state-of-the-art performance in classification task.
Ranked #1 on
Unsupervised Image Classification
on CIFAR-20
Sparse Multi-layer Image Approximation: Facial Image Compression
We propose a scheme for multi-layer representation of images.
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