Semi-Supervised Deep Ensembles for Blind Image Quality Assessment

26 June 2021

Papers citing "Semi-Supervised Deep Ensembles for Blind Image Quality Assessment"

9 / 9 papers shown

Title
Continual Learning for Blind Image Quality Assessment Weixia Zhang Dingquan Li Chao Ma Guangtao Zhai Xiaokang Yang Kede Ma VLM 43 86 0 19 Feb 2021
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 36 17 0 05 Nov 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 105 388 0 05 Oct 2020
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality Zhenqiang Ying Haoran Niu Praful Gupta D. Mahajan Deepti Ghadiyaram A. Bovik 72 305 0 20 Dec 2019
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment Vlad Hosu Hanhe Lin T. Szirányi Dietmar Saupe 102 564 0 14 Oct 2019
NormFace: L2 Hypersphere Embedding for Face Verification Feng Wang Xiang Xiang Jian Cheng Alan Yuille 3DH CVBM 61 742 0 21 Apr 2017
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment S. Bosse Dominique Maniry K. Müller Thomas Wiegand Wojciech Samek 72 994 0 06 Dec 2016
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks Stefan Lee Senthil Purushwalkam Michael Cogswell David J. Crandall Dhruv Batra FedML UQCV 90 316 0 19 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 288 18,587 0 06 Feb 2015