An Efficient Image Compression Method Based On Neural Network: An Overfitting Approach
暂无分享,去创建一个
Toshiaki Fujii | Keita Takahashi | Chihiro Tsutake | Yu Mikami | T. Fujii | Keita Takahashi | Yukari Mikami | Chihiro Tsutake
[1] Gang He,et al. A Video Compression Framework Using an Overfitted Restoration Neural Network , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[2] Taco S. Cohen,et al. Lossy Compression with Distortion Constrained Optimization , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[3] S. Mandt,et al. Variational Bayesian Quantization , 2020, ICML.
[4] Jungwon Lee,et al. Variable Rate Deep Image Compression With a Conditional Autoencoder , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[5] Zhan Ma,et al. Deep Image Compression via End-to-End Learning , 2018, CVPR Workshops.
[6] Luc Van Gool,et al. Conditional Probability Models for Deep Image Compression , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Luca Benini,et al. Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations , 2017, NIPS.
[8] Mu Li,et al. Learning Convolutional Networks for Content-Weighted Image Compression , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] David Minnen,et al. Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[10] Lucas Theis,et al. Lossy Image Compression with Compressive Autoencoders , 2017, ICLR.
[11] Valero Laparra,et al. End-to-end Optimized Image Compression , 2016, ICLR.
[12] David Minnen,et al. Full Resolution Image Compression with Recurrent Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Valero Laparra,et al. Density Modeling of Images using a Generalized Normalization Transformation , 2015, ICLR.
[15] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[16] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[17] Gary J. Sullivan,et al. Overview of the High Efficiency Video Coding (HEVC) Standard , 2012, IEEE Transactions on Circuits and Systems for Video Technology.
[18] Giovanni Manzini,et al. On compressing the textual web , 2010, WSDM '10.
[19] Heiko Schwarz,et al. Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard , 2003, IEEE Trans. Circuits Syst. Video Technol..
[20] Touradj Ebrahimi,et al. The JPEG 2000 still image compression standard , 2001, IEEE Signal Process. Mag..
[21] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.
[22] Gregory K. Wallace,et al. The JPEG still picture compression standard , 1991, CACM.
[23] Geoffrey E. Hinton,et al. Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks , 2006 .