Omnidirectional Image Quality Assessment With Knowledge Distillation-Reference-Cited by-同舟云学术

Omnidirectional Image Quality Assessment With Knowledge Distillation

Published:2023 Issue: Volume:30 Page:1562-1566
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Liu Lixiong¹^ORCID,Ma Pingchuan¹^ORCID,Wang Chongwen²^ORCID,Xu Dong³

Affiliation:

1. Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

2. Beijing Key Laboratory of Digital Performance and Simulation Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

3. School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10297422.pdf?arnumber=10297422

Reference37 articles.

1. Perception-Oriented U-Shaped Transformer Network for 360-Degree No-Reference Image Quality Assessment

2. MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment

3. VSOIQE: A Novel Viewport-Based Stitched 360° Omnidirectional Image Quality Evaluator

4. Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network

5. Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OmiQnet: Multiscale feature aggregation convolutional neural network for omnidirectional image assessment;Applied Intelligence;2024-04

2. Omnidirectional Video Quality Assessment With Causal Intervention;IEEE Transactions on Broadcasting;2024-03

3. Perceptual Blind Panoramic Image Quality Assessment Based on Super-Pixel;Communications in Computer and Information Science;2024