监禁 发表于 2025-3-25 03:57:43

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Control-Group 发表于 2025-3-25 09:26:33

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PUT 发表于 2025-3-25 13:04:07

Book 2020o highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emer

Palatial 发表于 2025-3-25 18:27:49

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terazosin 发表于 2025-3-25 23:11:39

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混合 发表于 2025-3-26 00:13:55

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净礼 发表于 2025-3-26 07:16:41

https://doi.org/10.1007/978-3-540-36693-5e attention of the network to image regions that are descriptive and important for representation purposes. The model is trained in an end-to-end manner using a combined cross-entropy and center loss. Extensive experiments on the recently introduced Extended Annotated Web Ears (AWEx).

全能 发表于 2025-3-26 10:20:39

Anti-Spoofing in Face Recognition: Deep Learning and Image Quality Assessment-Based Approaches,ecture that combines a pre-trained CNN model and the local binary patterns (LBP) descriptor. Both approaches are extensively evaluated on different datasets. The obtained results outperformed state-of-the-art approaches. Moreover, our methods are well suited for real-time mobile applications and they are also privacy-compliant.

清醒 发表于 2025-3-26 12:53:41

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APEX 发表于 2025-3-26 19:04:22

Constellation-Based Deep Ear Recognition,e attention of the network to image regions that are descriptive and important for representation purposes. The model is trained in an end-to-end manner using a combined cross-entropy and center loss. Extensive experiments on the recently introduced Extended Annotated Web Ears (AWEx).
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查看完整版本: Titlebook: Deep Biometrics; Richard Jiang,Chang-Tsun Li,Christophe Rosenberger Book 2020 Springer Nature Switzerland AG 2020 Deep Learned Biometric.C