Attention-Aware Patch-Based CNN for Blind 360-Degree Image Quality Assessment

Attention-Aware Patch-Based CNN for Blind 360-Degree Image Quality Assessment

An attention-aware patch-based deep-learning model for a blind 360-degree image quality assessment (360-IQA) is introduced in this paper. It employs spatial attention mechanisms to focus on spatially significant features, in addition to short skip connections to align them. A long skip connection is...

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Bibliographic Details
Main Authors: Abderrezzaq Sendjasni, Mohamed-Chaker Larabi
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
image quality assessment
360-degree images
convolutional neural networks
spatial attention
adaptive sampling
saliency-based aggregation
Online Access:https://www.mdpi.com/1424-8220/23/21/8676

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https://www.mdpi.com/1424-8220/23/21/8676

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