词汇表
发表于 2025-3-23 10:54:01
https://doi.org/10.1007/978-3-662-33316-7ure of the face image is performed on a mobile device or in a separate location from the face verification or search process, the amount of data that needs to be transmitted over the network should be minimized.
健壮
发表于 2025-3-23 13:51:50
http://reply.papertrans.cn/27/2647/264640/264640_12.png
平项山
发表于 2025-3-23 18:04:30
https://doi.org/10.1007/978-3-658-41970-7in how humans with various levels of expertise approach face identification tasks. We conclude by considering the challenging problem of human and machine performance on recognition of faces of different races. Understanding how humans and machines perform these tasks can lead to more effective and accurate face recognition in applied settings.
CANT
发表于 2025-3-24 01:46:18
Book 2021methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolvi
漂亮
发表于 2025-3-24 05:06:43
Empfindsamkeit und Sturm und Drang,w born face recognition. Finally, we evaluate and compare these techniques. Our comparative analysis shows that the state-of-the-art SSF-CNN technique achieves an average of rank-1 new born accuracy of ..
伤心
发表于 2025-3-24 08:41:17
http://reply.papertrans.cn/27/2647/264640/264640_16.png
乳汁
发表于 2025-3-24 13:07:26
http://reply.papertrans.cn/27/2647/264640/264640_17.png
Myocyte
发表于 2025-3-24 17:17:18
Thermal-to-Visible Face Synthesis and Recognition,ents in face recognition accuracy, particularly in unconstrained scenarios [., ., ., ., .]. Also, largely driven by social network companies, progress in face recognition research, development, and deployment have focused on faces collected in visible regimes of the electromagnetic spectrum.
巫婆
发表于 2025-3-24 19:49:45
http://reply.papertrans.cn/27/2647/264640/264640_19.png
不愿
发表于 2025-3-25 00:09:56
Obstructing DeepFakes by Disrupting Face Detection and Facial Landmarks Extraction,action method with specially designed imperceptible adversarial perturbations to reduce the quality of the detected faces. We empirically show the effectiveness of our methods in disrupting state-of-the-art DNN-based face detectors and facial landmark extractors on several datasets.