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Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017 Among various elements of manga, character's face plays one of the most important role in access and retrieval. We propose a DNN-based method to do manga face detection, which is a challenging but relatively unexplored topic. Given a manga page, we first find candidate regions based on the selective search scheme. A deep neural network is then proposed
Wei-Ta Chu, Weiwei Li
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A Quantitative Study on the FaceNet System
Lecture Notes in Networks and Systems, 2023Rajesh Gopakumar, Karunakar Kotegar
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Использование FaceNet для обнаружения лиц [PDF]
В данной научной работе рассматривается использование нейронной сети FaceNet для задачи поиска аккаунтов пользователей по их фотографиям. FaceNet представляет собой архитектуру глубокого обучения, формирующую эмбеддинги изображений лиц, позволяя сопоставлять их по векторным представлениям в многомерном признаковом пространстве.
Гайков, Д. В.
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FaceNet Based Face Sketch Recognition
2017 International Conference on Computational Science and Computational Intelligence (CSCI), 2017Despite significant recent achievements in the field of face recognition, implementing face sketch recognition effectively presents serious challenges to existing methods. In this paper, we propose a novel face sketch recognition approach based on FaceNet which can directly map face image to a feature vector.
Weiguo Wan, Hyo Jong Lee
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Facenet: A connectionist model of face identification in context
European Journal of Cognitive Psychology, 1991Abstract The role of contexts in face identification constitutes a weak point of existing cognitive models of face recognition. A connectionist system (Face-net) based on a layered network has been specified and implemented to investigate the processes underlying identification.
Anne-Caroline Schreiber +2 more
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Efficient and Privacy-preserving Distributed Face Recognition Scheme via FaceNet
ACM Turing Award Celebration Conference - China ( ACM TURC 2021), 2021In recent years, with the development of deep learning techniques, face recognition has draw numerous attention in both academic and industrial. Meanwhile, it is also widely deployed in smart home and brings great conveniences in people’s life. However, due to the sensitivity of biometric data, face recognition is still confronted with several crucial ...
Xiaoyu Kou +3 more
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HyDeepIDF-Net: Hybrid Deep ID FaceNet for Person Re-Identification
Journal of Ambient Intelligence and Humanized ComputingKedar Nagnathrao Ghogale +2 more
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Implementation and Evaluation of a FaceNet Inspired Model for Facial Recognition
2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI)Neeta Singh
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EEG Person Identification Using Facenet, LSTM-RNN and SVM
2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), 2020Electroencephalography (EEG) is the recording of electrical activity occurring in the brain, it represents the whole neural signal flow of the brain giving plenty of complex, yet abstract information. As many papers validated the individual identification using EEG Features for security purposes, we strongly believe that human EEG contains a ...
Ghaith Bouallegue, Ridha Djemal
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