ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision-Reference-Cited by-同舟云学术

ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Liu Lei¹^ORCID,Hu Zhihao¹^ORCID,Chen Zhenghao²^ORCID,Xu Dong³^ORCID

Affiliation:

1. Beihang University, Beijing, China

2. The University of Sydney, Sydney, Australia

3. The University of Hong Kong, Hong Kong, Hong Kong

Funder

The Startup Funding and the Seed Funding for Basic Research for New Staff from The University of Hong Kong

The Hong Kong Jockey Club Charities Trust

UBTECH Robotics

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612041

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3. Johannes Ballé , David Minnen , Saurabh Singh , Sung Jin Hwang , and Nick Johnston . 2018 . Variational image compression with a scale hyperprior . In International Conference on Learning Representations. Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, and Nick Johnston. 2018. Variational image compression with a scale hyperprior. In International Conference on Learning Representations.

4. Gisle Bjontegaard . 2001. Calculation of average PSNR differences between RD-curves. ITU SG16 Doc. VCEG-M33 ( 2001 ). Gisle Bjontegaard. 2001. Calculation of average PSNR differences between RD-curves. ITU SG16 Doc. VCEG-M33 (2001).

5. Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression

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