Online Meta Adaptation for Variable-Rate Learned Image Compression

16 November 2021

Songnan Li

Papers citing "Online Meta Adaptation for Variable-Rate Learned Image Compression"

22 / 22 papers shown

Title
Substitutional Neural Image Compression Tianlin Li Wei Jiang Wei Wang Shan Liu Brian Kulis Peter Chin 55 5 0 16 May 2021
Checkerboard Context Model for Efficient Learned Image Compression Dailan He Yaoyan Zheng Baochen Sun Yan Wang Hongwei Qin 97 283 0 29 Mar 2021
MetaHDR: Model-Agnostic Meta-Learning for HDR Image Reconstruction Edwin Pan Anthony Vento 124 5 0 20 Mar 2021
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks Mohammad Akbari Jie Liang Jingning Han Chengjie Tu 55 20 0 31 Dec 2020
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja VLM 68 428 0 05 Nov 2020
Universally Quantized Neural Compression E. Agustsson Lucas Theis MQ 114 90 0 17 Jun 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution Jae Woong Soh Sunwoo Cho N. Cho SupR 88 285 0 27 Feb 2020
Variable Rate Deep Image Compression with Modulated Autoencoder Fei Yang Luis Herranz Joost van de Weijer Jose A. Iglesias-Guitian Antonio M. López M. Mozerov 73 93 0 11 Dec 2019
Variable Rate Deep Image Compression With a Conditional Autoencoder Yoojin Choi Mostafa El-Khamy Jungwon Lee DRL 86 226 0 11 Sep 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 83 256 0 22 Feb 2019
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 99 191 0 18 Dec 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 778 0 22 Oct 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 84 1,282 0 08 Sep 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 142 553 0 30 Mar 2018
Conditional Probability Models for Deep Image Compression Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool 106 489 0 12 Jan 2018
Online Deep Learning: Learning Deep Neural Networks on the Fly Doyen Sahoo Quang Pham Jing Lu Guosheng Lin OnRL AI4CE 78 318 0 10 Nov 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,164 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 835 11,961 0 09 Mar 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 139 1,716 0 05 Nov 2016
Full Resolution Image Compression with Recurrent Neural Networks G. Toderici Damien Vincent Nick Johnston S. Hwang David C. Minnen Joel Shor Michele Covell GAN 72 828 0 18 Aug 2016
Variable Rate Image Compression with Recurrent Neural Networks G. Toderici Sean M. O'Malley S. Hwang Damien Vincent David C. Minnen S. Baluja Michele Covell Rahul Sukthankar 105 671 0 19 Nov 2015
Streaming Variational Bayes Tamara Broderick N. Boyd Andre Wibisono Ashia Wilson Michael I. Jordan 85 346 0 25 Jul 2013