2D Facial Images Attractiveness Assessment Based on Transfer Learning of Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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2D Facial Images Attractiveness Assessment Based on Transfer Learning of Deep Convolutional Neural Networks

Published:2022-09-21 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Advanced Science and Engineering (ICOASE)
language:
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Author:

Saeed Jwan Najeeb¹,Abdulazeez Adnan Mohsin²,Ibrahim Dheyaa Ahmed³

Affiliation:

1. Technical Informatics College of Akre, Duhok Polytechnique University,Duhok, Kurdistan Region,Iraq

2. Technical College of Engineering-Duhok, Duhok Polytechnique University,Duhok, Kurdistan Region,Iraq

3. Information Technology College, Imam Ja'afar AlSadiq University,Communication Engineering Techniques Department,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10075549/10075546/10075585.pdf?arnumber=10075585

Reference25 articles.

1. MEBeauty: a multi-ethnic facial beauty dataset in-the-wild;lebedeva;Neural Computing and Applications,2021

2. Benchmark of a large scale database for facial beauty prediction

3. On construction of transfer learning for facial symmetry assessment before and after orthognathic surgery

4. SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction

5. Facial Beauty Prediction Based on Lighted Deep Convolution Neural Network with Feature Extraction Strengthened

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