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Oxford U Proposes COIN++, a Neural Compression Framework for Different Data Modalities

An enormous amount of data is produced daily in our increasingly digitalized world, and the neural compression algorithms designed to deal with this deluge have typically relied on autoencoders with specialized encoder and decoder architectures for different data modalities, with a strong focus on image and video data.

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