Deep Learning-based Viewpoint Prediction Model and Influencing Attention Factors for Design Drawings-Reference-Cited by-同舟云学术

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Deep Learning-based Viewpoint Prediction Model and Influencing Attention Factors for Design Drawings

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)
language:
Short-container-title:

Author:

Liu Bai¹

Affiliation:

1. Winchester School of Art University of Southampton,Winchester,United Kingdom

Funder

University of Southampton

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10105556/10105661/10105774.pdf?arnumber=10105774

Reference13 articles.

1. Learning and attention increase visual response selectivity through distinct mechanisms

2. Consumers as Naive Physicists: How Visual Entropy Cues Shift Temporal Focus and Influence Product Evaluations

3. Towards high-accuracy classifying attention-deficit/hyperactivity disorders using CNN-LSTM model

4. Meaning maps detect the removal of local semantic scene content but deep saliency models do not

5. Creativity or creativities? Why context matters

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1. Application of VR Technology in Interactive Virtual Clothing Feature Extraction;2023 5th International Conference on Electronic Engineering and Informatics (EEI);2023-06-30

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