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Rep."},{"key":"10.1016\/j.engappai.2024.109114_b96","series-title":"2020 IEEE International Conference on Image Processing","first-page":"1361","article-title":"Unconstrained periocular recognition: Using generative deep learning frameworks for attribute normalization","author":"Zanlorensi","year":"2020"},{"issue":"11","key":"10.1016\/j.engappai.2024.109114_b97","doi-asserted-by":"crossref","first-page":"2897","DOI":"10.1109\/TIFS.2018.2833033","article-title":"Deep feature fusion for iris and periocular biometrics on mobile devices","volume":"13","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.engappai.2024.109114_b98","series-title":"VarGNet: Variable group convolutional neural network for efficient embedded computing","author":"Zhang","year":"2019"},{"key":"10.1016\/j.engappai.2024.109114_b99","doi-asserted-by":"crossref","unstructured":"Zhang, D., Yang, J., Ye, D., Hua, G., 2018b. Lq-nets: Learned quantization for highly accurate and compact deep neural networks. In: Proceedings of the European Conference on Computer Vision. 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