Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

6 December 2016

Papers citing "Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment"

37 / 87 papers shown

Title
MUSIQ: Multi-scale Image Quality Transformer Junjie Ke Qifei Wang Yilin Wang P. Milanfar Feng Yang 177 632 0 12 Aug 2021
Task-Specific Normalization for Continual Learning of Blind Image Quality Models Weixia Zhang Kede Ma Guangtao Zhai Xiaokang Yang VLM 39 24 0 28 Jul 2021
RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank Wenlong Zhang Yihao Liu Chao Dong Yulin Qiao GAN 30 37 0 20 Jul 2021
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data A. Abdellatif N. Mhaisen Amr M. Mohamed A. Erbad Mohsen Guizani Z. Dawy W. Nasreddine FedML 58 93 0 14 Jul 2021
Troubleshooting Blind Image Quality Models in the Wild Zhihua Wang Haotao Wang Tianlong Chen Zhangyang Wang Kede Ma 15 19 0 14 May 2021
(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment Seyed Mehdi Ayyoubzadeh Ali Royat 21 13 0 06 May 2021
Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images Li Yang Mai Xu Xin Deng Bo Feng 31 28 0 10 Mar 2021
Continual Learning for Blind Image Quality Assessment Weixia Zhang Dingquan Li Chao Ma Guangtao Zhai Xiaokang Yang Kede Ma VLM 24 86 0 19 Feb 2021
A Comprehensive Review of Deep Learning-based Single Image Super-resolution S. M. A. Bashir Yi Wang Mahrukh Khan Yilong Niu SupR AI4Cl 45 113 0 18 Feb 2021
Learning-Based Quality Assessment for Image Super-Resolution Tiesong Zhao Yuting Lin Yiwen Xu Weiling Chen Zhou Wang 27 27 0 16 Dec 2020
Evaluation of quality measures for color quantization G. Ramella 34 18 0 25 Nov 2020
Multi-pooled Inception features for no-reference image quality assessment D. Varga 27 41 0 10 Nov 2020
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation Baoliang Chen Haoliang Li Hongfei Fan Shiqi Wang 22 32 0 19 Aug 2020
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment Dingquan Li Tingting Jiang Ming Jiang 30 96 0 10 Aug 2020
Contrastive Explanations in Neural Networks Mohit Prabhushankar Gukyeong Kwon Dogancan Temel Ghassan AlRegib FAtt 16 33 0 01 Aug 2020
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration Jinjin Gu Haoming Cai Haoyu Chen Xiaoxing Ye Jimmy S. J. Ren Chao Dong 35 191 0 23 Jul 2020
Towards Robust Classification with Image Quality Assessment Yeli Feng Yiyu Cai 19 0 0 14 Apr 2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment Hancheng Zhu Leida Li Jinjian Wu W. Dong Guangming Shi 53 275 0 11 Apr 2020
Assessing Image Quality Issues for Real-World Problems Tai-Yin Chiu Yinan Zhao Danna Gurari 61 54 0 27 Mar 2020
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning Hanhe Lin Vlad Hosu Chunling Fan Yun Zhang Yuchen Mu R. Hamzaoui Dietmar Saupe 37 21 0 07 Jan 2020
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network Munan Xu Junming Chen Haiqiang Wang Shan Liu Ge Li Zhiqiang Bai 27 49 0 30 Oct 2019
Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image Qingbo Wu Lei Wang K. Ngan Hongliang Li Fanman Meng Linfeng Xu 22 61 0 26 Sep 2019
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Wenlong Zhang Yihao Liu Chao Dong Yu Qiao GAN 30 349 0 18 Aug 2019
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network Weixia Zhang Kede Ma Jia Yan Dexiang Deng Zhou Wang 50 649 0 05 Jul 2019
Learning to Blindly Assess Image Quality in the Laboratory and Wild Weixia Zhang Kede Ma Guangtao Zhai Xiaokang Yang 20 58 0 01 Jul 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 24 1,337 0 07 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 17 996 0 26 Feb 2019
A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions S. Seo Sehwan Ki Munchurl Kim 30 4 0 14 Feb 2019
Why Are Deep Representations Good Perceptual Quality Features? Taimoor Tariq Okan Tarhan Tursun Munchurl Kim Piotr Didyk SSL 24 1 0 02 Dec 2018
Understanding Patch-Based Learning by Explaining Predictions Christopher J. Anders G. Montavon Wojciech Samek K. Müller UQCV FAtt 33 6 0 11 Jun 2018
PieAPP: Perceptual Image-Error Assessment through Pairwise Preference Ekta Prashnani H. Cai Yasamin Mostofi P. Sen SSL 31 272 0 06 Jun 2018
Compact and Computationally Efficient Representation of Deep Neural Networks Simon Wiedemann K. Müller Wojciech Samek MQ 42 67 0 27 May 2018
A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery Arturo Marbán Vignesh Srinivasan Wojciech Samek Josep Fernández A. Casals 33 84 0 22 May 2018
Blind Predicting Similar Quality Map for Image Quality Assessment Da Pan Ping Shi Ming-rui Hou Zefeng Ying Sizhe Fu Yuan Zhang 25 103 0 22 May 2018
Dual Recurrent Attention Units for Visual Question Answering Ahmed Osman Wojciech Samek 36 30 0 01 Feb 2018
DeepISP: Towards Learning an End-to-End Image Processing Pipeline Eli Schwartz Raja Giryes A. Bronstein VLM 32 225 0 20 Jan 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017