AdaFI-FCN: an adaptive feature integration fully convolutional network for predicting driver’s visual attention-Reference-Cited by-同舟云学术

AdaFI-FCN: an adaptive feature integration fully convolutional network for predicting driver’s visual attention

Published:2022-11-24 Issue: Volume: Page:1-17
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Shi Bowen¹^ORCID,Dong Weihua¹^ORCID,Zhan Zhicheng¹²^ORCID

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Research Centre of Geospatial Cognition and Visual Analytics, and Faculty of Geographical Science, Beijing Normal University, Beijing, China

2. Department of Geography, Ghent University, Ghent, Belgium

Funder

National Natural Science Foundation of China

Ministry of Natural Resources

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2147028

Reference85 articles.

1. Spatio-Temporal Saliency Networks for Dynamic Saliency Prediction

2. Representation Learning: A Review and New Perspectives

3. Attention based on information maximization

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