Semantic Learning for Image Compression (SLIC)

Author:

Mahalingaiah Kushal,Sharma Harsh,Kaplish Priyanka,Cheng Irene

Publisher

Springer International Publishing

Reference15 articles.

1. Agustsson, E., Tschannen, M., Mentzer, F., Timofte, R., Gool, L.V.: Generative adversarial networks for extreme learned image compression. CoRR abs/1804.02958 (2018). http://arxiv.org/abs/1804.02958

2. Akbari, M., Liang, J., Han, J.: DSSLIC: deep semantic segmentation-based layered image compression. In: ICASSP 2019–2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2042–2046. IEEE (2019)

3. Cai, C., Chen, L., Zhang, X., Gao, Z.: Efficient variable rate image compression with multi-scale decomposition network. IEEE Trans. Circuits Syst. Video Technol. (2018)

4. Griffin, G., Holub, A., Perona, P.: Caltech-256 object category dataset. Technical report, 7694, California Institute of Technology (2007). http://authors.library.caltech.edu/7694

5. Howard, A.G., et al.: MobileNets: efficient convolutional neural networks for mobile vision applications. CoRR abs/1704.04861 (2017). http://arxiv.org/abs/1704.04861

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