Web: http://arxiv.org/abs/2201.11782

Jan. 31, 2022, 2:10 a.m. | Ankur Mali, Alexander Ororbia, Daniel Kifer, Lee Giles

cs.CV updates on arXiv.org arxiv.org

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 this paper, we perform the first large-scale comparison of recent
state-of-the-art hybrid neural compression algorithms, while exploring the
effects of alternative training strategies (when applicable). The hybrid
recurrent neural decoder …

algorithms analysis arxiv compression cv learning neural systems

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