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Feature similarity measurement of cross-age face images ...
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由 D Ge 著作2021被引用 2 次 — This study introduces deep learning algorithms to build the basic architecture of deep learning networks, define network input as face image ...
Feature similarity measurement of cross-age face images ...
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2021年1月1日 — This study introduces deep learning algorithms to build the basic architecture of deep learning networks, define network input as face image ...
Feature similarity measurement of cross-age face images ...
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2024年10月22日 — Therefore, we propose a new method to detect Web attacks using deep learning. The method is based on analyzing HTTP request, where only some ...
Feature similarity measurement of cross-age face images based ...
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In this paper, we propose two approaches to improving the performance of detecting facial landmarks. Firstly, we propose a method to produce more reliable spin ...
Cross-age Face Image Similarity Measurement Based on ...
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In this study, recurrent neural networks (RNN) in deep learning algorithms are used for feature fusion in cross-age FR. Unlike traditional neural networks, RNN ...
Feature similarity measurement of cross-age face images ...
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由 D Ge 著作2021被引用 2 次 — This study introduces deep learning algorithms to build the basic architecture of deep learning networks, define network input as face image data containing age ...
Cross-age Face Image Similarity Measurement Based on Deep ...
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The model constructed in this study has effective recognition and application value in the cross-age face recognition scenario and constrains the ...
IJOB: Vol 13, No 2-3
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Feature similarity measurement of cross-age face images based on a deep learning algorithm · Author Picture Dong-yuan Ge,; Author Picture Xi-fan Yao,; + 3.
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Measure face similarity based on deep learning
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由 C Zhou 著作2019被引用 2 次 — Face recognition algorithms try to enlarge the distance between faces from different identities while face similarity algorithms attempt to narrow the distance ...
64 頁
Deep low-rank feature learning and encoding for cross-age ...
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由 MS Shakeel 著作2022被引用 6 次 — This paper proposes a deep low-rank feature learning and encoding method. Firstly, our method employs manifold learning in the low-rank optimization.
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