148 Bibliography Zeiler, M. D., & Fergus, R. (2014). Visualizing and understanding convolutional networks. Lecture Notes in Computer Science, 8689 LNCS, 818–833. https://doi.org/10.1007/978-3-31910590-1_53 Zeng, F.-G. (2022). Celebrating the one millionth cochlear implant. JASA Express Letters, 2(7), 077201. https : //doi.org/10.1121/10.0012825 Zhang, L., Zhang, L., Mou, X., & Zhang, D. (2011). FSIM: A Feature Similarity Index for Image Quality Assessment. IEEE Transactions on Image Processing, 20(8), 2378–2386. https://doi. org/10.1109/TIP.2011.2109730 Zhang, R., Isola, P., Efros, A. A., Shechtman, E., & Wang, O. (2018). The unreasonable effectiveness of deep features as a perceptual metric. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 586– 595 Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017). Scene parsing through ade20k dataset. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 633–641 Zhou, B., Zhao, H., Puig, X., Xiao, T., Fidler, S., Barriuso, A., & Torralba, A. (2019). Semantic Understanding of Scenes Through the ADE20K Dataset. International Journal of Computer Vision, 127(3), 302–321. https://doi.org/10. 1007/s11263-018-1140-0 Zrenner, E., Bartz-Schmidt, K. U., Benav, H., Besch, D., Bruckmann, A., Gabel, V.-P., Gekeler, F., Greppmaier, U., Harscher, A., Kibbel, S., Koch, J., Kusnyerik, A., Peters, T., Stingl, K., Sachs, H., Stett, A., Szurman, P., Wilhelm, B., & Wilke, R. (2011). Subretinal electronic chips allow blind patients to read letters and combine them to words. Proceedings of the Royal Society B: Biological Sciences, 278(1711), 1489–1497. https: //doi.org/10.1098/rspb.2010.1747
RkJQdWJsaXNoZXIy MTk4NDMw