A multi-scale feature pyramid fusion network for predicting the driver's visual attention-Reference-Cited by-同舟云学术

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A multi-scale feature pyramid fusion network for predicting the driver's visual attention

Published:2023-11-03 Issue: Volume: Page:401-406
ISSN:
Container-title:2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
language:
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Author:

Xu Chuan¹,Wu Qilong¹,Zhou Tong¹,Su Yan¹

Affiliation:

1. Nanjing University of Science and Technology,School of Mechanical Engineering,Nanjing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424714/10424727/10424827.pdf?arnumber=10424827

Reference21 articles.

1. Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals

2. Coordination of Autonomous Vehicles

3. A feature-integration theory of attention

4. A model of saliency-based visual attention for rapid scene analysis

5. Graph-Based Visual Saliency;Harel

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