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Found 4 papers, 2 papers with code
iiTransformer: A Unified Approach to Exploiting Local and Non-Local Information for Image Restoration
The goal of image restoration is to recover a high-quality image from its degraded input.
Ranked #3 on
Color Image Denoising
on Urban100 sigma25
Infinite Mixture Prototypes for Few-Shot Learning
We propose infinite mixture prototypes to adaptively represent both simple and complex data distributions for few-shot learning.
Variadic Learning by Bayesian Nonparametric Deep Embedding
On the standard few-shot learning benchmarks of Omniglot and mini-ImageNet, BANDE equals or improves on the state-of-the-art for semi-supervised classification.
Continual Learning with Deep Generative Replay
Attempts to train a comprehensive artificial intelligence capable of solving multiple tasks have been impeded by a chronic problem called catastrophic forgetting.
