Self-supervised learning

Variable Rate Allocation for Vector-Quantized Autoencoders
ICASSP 2023 - Control the bit rate allocation of a a PQ-VAE using semantic information from DINO, in collaboration with the Meta AI in Paris.
Federico Baldassarre, Alaaeldin El-Nouby, Hervé Jégou
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Variable Rate Allocation for Vector-Quantized Autoencoders
Towards Self-Supervised Learning of Global and Object-Centric Representations
ICLR Workshop 2022 - How to learn object-centric representations using contrastive learning on multi-object datasets?
Federico Baldassarre, Hossein Azizpour
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Towards Self-Supervised Learning of Global and Object-Centric Representations