Semantics-to-Signal Scalable Image Compression with Learned Revertible Representations

Author:

Liu Kang,Liu DongORCID,Li Li,Yan Ning,Li Houqiang

Funder

Ministry of Science and Technology of the People’s Republic of China

National Natural Science Foundation of China

Ministry of Education of the People’s Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference52 articles.

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3. Ballé, J., Laparra, V., & Simoncelli, E. P. (2016). End-to-end optimized image compression. Technical Report. arXiv preprint arXiv:1611.01704

4. Ballé, J., Minnen, D., Singh, S., Hwang, S. J., & Johnston, N. (2018). Variational image compression with a scale hyperprior. Technical Report. arXiv preprint arXiv:1802.01436

5. Baxter, J. (1997). A bayesian/information theoretic model of learning to learn via multiple task sampling. Machine Learning, 28(1), 7–39.

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