An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems
Recent advances in deep learning have resulted in image compression algorithms that outperform JPEG and JPEG 2000 on the standard Kodak benchmark. However, they are slow to train (due to backprop-through-time) and, to the best of our knowledge, have not been systematically evaluated on a large variety of datasets. In …