ID-YOLO: Real-Time Salient Object Detection Based on the Driver’s Fixation Region-Reference-Cited by-同舟云学术

ID-YOLO: Real-Time Salient Object Detection Based on the Driver’s Fixation Region

Published:2022-09 Issue:9 Volume:23 Page:15898-15908
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Qin Long¹^ORCID,Shi Yi¹,He Yahui¹,Zhang Junrui¹,Zhang Xianshi¹,Li Yongjie¹^ORCID,Deng Tao¹^ORCID,Yan Hongmei¹^ORCID

Affiliation:

1. MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Sichuan Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9893028/09703244.pdf?arnumber=9703244

Reference60 articles.

1. Revisiting Video Saliency Prediction in the Deep Learning Era

2. Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition

3. The Pascal Visual Object Classes (VOC) Challenge

4. SALICON: Saliency in Context

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