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SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA
Learning rich data representations from unlabeled data is a key challenge towards applying deep learning algorithms in downstream tasks. The proposed method learns sparse data... -
Berkeley Segmentation Data Set
The Berkeley Segmentation Data Set is a benchmark for unsupervised image segmentation.