CUDAS: Distortion-Aware Saliency Benchmark-Reference-Cited by-同舟云学术

CUDAS: Distortion-Aware Saliency Benchmark

Published:2023 Issue: Volume:11 Page:58025-58036
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhao Xin¹,Lou Jianxun¹^ORCID,Wu Xinbo¹,Wu Yingying¹,Lévéque Lucie²^ORCID,Liu Xiaochang³^ORCID,Guo Pengfei⁴^ORCID,Qin Yipeng¹^ORCID,Lin Hanhe⁵^ORCID,Saupe Dietmar⁶^ORCID,Liu Hantao¹^ORCID

Affiliation:

1. School of Computer Science and Informatics, Cardiff University, Cardiff, U.K

2. LS2N-UMR 6004 CNRS, Nantes University, Nantes, France

3. School of Materials, Sun Yat-sen University, Guangzhou, China

4. School of Computational Science, Zhongkai University of Agriculture and Engineering, Guangzhou, China

5. School of Science and Engineering, University of Dundee, Dundee, U.K

6. Department of Computer and Information Science, University of Konstanz, Konstanz, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10144754.pdf?arnumber=10144754

Reference54 articles.

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2. Graph-based visual saliency;harel;Proc 19th Int Conf Neural Inf Process Syst (NIPS),2006

3. Attention based on information maximization

4. Modeling attention to salient proto-objects

5. Components of bottom-up gaze allocation in natural images

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