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Found 3 papers, 3 papers with code
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
Instance-level contrastive learning techniques, which rely on data augmentation and a contrastive loss function, have found great success in the domain of visual representation learning.
Ranked #3 on
Self-supervised Video Retrieval
on HMDB51
Self-Supervised Variational Auto-Encoders
Density estimation, compression and data generation are crucial tasks in artificial intelligence.
Super-resolution Variational Auto-Encoders
The framework of variational autoencoders (VAEs) provides a principled method for jointly learning latent-variable models and corresponding inference models.
Ranked #62 on
Image Generation
on CIFAR-10
(bits/dimension metric)
