Results 151 to 160 of about 1,109 (203)
Social attention in the wild - fixations to the eyes and autistic traits during a naturalistic interaction in a healthy sample. [PDF]
Buehler R, Ansorge U, Silani G.
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Enhancing Concept-Based Explanation with Vision-Language Models. [PDF]
Hossain I +4 more
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Generation of Face Privacy-Protected Images Based on the Diffusion Model. [PDF]
You X, Zhao X, Wang Y, Sun W.
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Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing. [PDF]
Macarulla Rodriguez A +3 more
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Secure facial biometric authentication in smart cities using multimodal methodology. [PDF]
Sureshkumar A +4 more
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Acromegaly facial changes analysis using last generation artificial intelligence methodology: the AcroFace system. [PDF]
Rashwan HA +14 more
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Lightweight FaceNet Based on MobileNet ()
Face recognition is a kind of biometric technology that recognizes identities through human faces. At first, the speed of machine recognition of human faces was slow and the accuracy was lower than manual recognition. With the rapid development of deep learning and the application of Convolutional Neural Network (CNN) in the field of face ...
Xinzheng Xu, Meng Du
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A Quantitative Study on the FaceNet System
Lecture Notes in Networks and Systems, 2023Karunakar A K, Rajesh Gopakumar
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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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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
openaire +2 more sources

