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A Multi-task convolutional neural network for blind stereoscopic image
  quality assessment using naturalness analysis
v1v2v3 (latest)

A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis

17 June 2021
Salima Bourbia
Ayoub Karine
A. Chetouani
Mohammed El Hassouni Lrit
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis"

2 / 2 papers shown
Towards Top-Down Stereo Image Quality Assessment via Stereo Attention
Towards Top-Down Stereo Image Quality Assessment via Stereo AttentionIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2023
Huilin Zhang
Sumei Li
Haoxiang Chang
Peiming Lin
281
2
0
08 Aug 2023
End-to-end deep multi-score model for No-reference stereoscopic image
  quality assessment
End-to-end deep multi-score model for No-reference stereoscopic image quality assessmentInternational Conference on Information Photonics (ICIP), 2022
Oussama Messai
A. Chetouani
120
11
0
02 Nov 2022
1
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