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[1] Piotr Bilinski,et al. Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] Steve Branson,et al. Learned Video Compression , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[3] David Salomon,et al. Data Compression: The Complete Reference , 2006 .
[4] Christian Desrosiers,et al. Revisiting CycleGAN for semi-supervised segmentation , 2019, ArXiv.
[5] Tomas Pfister,et al. Learning from Simulated and Unsupervised Images through Adversarial Training , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Luca Benini,et al. Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations , 2017, NIPS.
[7] Raymond Y. K. Lau,et al. Least Squares Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Fabio Pizzati,et al. Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation , 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
[9] Nir Shavit,et al. Generative Compression , 2017, 2018 Picture Coding Symposium (PCS).
[10] David Minnen,et al. Variable Rate Image Compression with Recurrent Neural Networks , 2015, ICLR.
[11] Allen Gersho,et al. Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.
[12] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Ganesh K. Venayagamoorthy,et al. Neural networks based non-uniform scalar quantizer design with particle swarm optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[14] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[15] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Chih-Yuan Yang,et al. Learning a No-Reference Quality Metric for Single-Image Super-Resolution , 2016, Comput. Vis. Image Underst..
[17] Houqiang Li,et al. Quantization Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Lubomir D. Bourdev,et al. Real-Time Adaptive Image Compression , 2017, ICML.
[19] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[20] Peter Schlicht,et al. Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[21] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[22] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[23] Lucas Theis,et al. Lossy Image Compression with Compressive Autoencoders , 2017, ICLR.
[24] Jian Yang,et al. MemNet: A Persistent Memory Network for Image Restoration , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[25] Yann LeCun,et al. Energy-based Generative Adversarial Network , 2016, ICLR.
[26] Leonidas J. Guibas,et al. The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.
[27] Tim Fingscheidt,et al. Focussing Learned Image Compression to Semantic Classes for V2X Applications , 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).
[28] Léon Bottou,et al. Wasserstein GAN , 2017, ArXiv.
[29] Michael McComas,et al. Steganography GAN: Cracking Steganography with Cycle Generative Adversarial Networks , 2020, ArXiv.
[30] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Lorenzo Porzi,et al. In-place Activated BatchNorm for Memory-Optimized Training of DNNs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[32] Peter Schlicht,et al. Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[33] Daniel Rueckert,et al. A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction , 2017, IEEE Transactions on Medical Imaging.
[34] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[35] Minqing Zhang,et al. Recent Advances of Image Steganography With Generative Adversarial Networks , 2019, IEEE Access.
[36] Yoshua Bengio,et al. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation , 2013, ArXiv.
[37] Graham W. Taylor,et al. Deconvolutional networks , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[38] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[40] Peter Schlicht,et al. Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces , 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).
[41] David Zhang,et al. A comprehensive evaluation of full reference image quality assessment algorithms , 2012, 2012 19th IEEE International Conference on Image Processing.
[42] Antonio J. Plaza,et al. Image Segmentation Using Deep Learning: A Survey , 2021, IEEE transactions on pattern analysis and machine intelligence.
[43] Eduardo Romera,et al. ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation , 2018, IEEE Transactions on Intelligent Transportation Systems.
[44] Luc Van Gool,et al. Generative Adversarial Networks for Extreme Learned Image Compression , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[45] Robert M. Gray,et al. Quantization noise spectra , 1990, IEEE Trans. Inf. Theory.
[46] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[47] Seunghoon Hong,et al. Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[48] Wangmeng Zuo,et al. Learning Deep CNN Denoiser Prior for Image Restoration , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Dengpan Ye,et al. Heard More Than Heard: An Audio Steganography Method Based on GAN , 2019, ArXiv.
[50] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Peter Schlicht,et al. On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[52] Tim Fingscheidt,et al. Towards Corner Case Detection for Autonomous Driving , 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).
[53] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] R. Gray,et al. Vector quantization , 1984, IEEE ASSP Magazine.
[55] Mark Sandler,et al. CycleGAN, a Master of Steganography , 2017, ArXiv.
[56] Tim Fingscheidt,et al. On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation , 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).
[57] Harshad Rai,et al. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks , 2018 .
[58] Jan Kautz,et al. Loss Functions for Image Restoration With Neural Networks , 2017, IEEE Transactions on Computational Imaging.
[59] Peter Schlicht,et al. Self-Supervised Domain Mismatch Estimation for Autonomous Perception , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[60] Peyman Milanfar,et al. NIMA: Neural Image Assessment , 2017, IEEE Transactions on Image Processing.