Results 11 to 20 of about 12,024,061 (386)
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks [PDF]
IEEE Signal Processing Letters, 2016 Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations, and occlusions. Recent studies show that deep learning approaches can achieve impressive performance on these two tasks.
Kaipeng Zhang +3 more
semanticscholar +1 more source
AdaFace: Quality Adaptive Margin for Face Recognition [PDF]
Computer Vision and Pattern Recognition, 2022 Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded. Advances in margin-based loss functions have resulted in enhanced discriminability of faces in the embedding space.
Minchul Kim, Anil K. Jain, Xiaoming Liu
semanticscholar +1 more source
FaceNet: A unified embedding for face recognition and clustering [PDF]
Computer Vision and Pattern Recognition, 2015 Despite significant recent advances in the field of face recognition [10, 14, 15, 17], implementing face verification and recognition efficiently at scale presents serious challenges to current approaches.
Florian Schroff +2 more
semanticscholar +1 more source
Deep Learning Face Attributes in the Wild [PDF]
IEEE International Conference on Computer Vision, 2014 Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework for attribute prediction in the wild.
Ziwei Liu +3 more
semanticscholar +1 more source
CosFace: Large Margin Cosine Loss for Deep Face Recognition [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Face recognition has made extraordinary progress owing to the advancement of deep convolutional neural networks (CNNs). The central task of face recognition, including face verification and identification, involves face feature discrimination.
H. Wang +7 more
semanticscholar +1 more source
SphereFace: Deep Hypersphere Embedding for Face Recognition [PDF]
Computer Vision and Pattern Recognition, 2017 This paper addresses deep face recognition (FR) problem under open-set protocol, where ideal face features are expected to have smaller maximal intra-class distance than minimal inter-class distance under a suitably chosen metric space.
Weiyang Liu +5 more
semanticscholar +1 more source
MagFace: A Universal Representation for Face Recognition and Quality Assessment [PDF]
Computer Vision and Pattern Recognition, 2021 The performance of face recognition system degrades when the variability of the acquired faces increases. Prior work alleviates this issue by either monitoring the face quality in pre-processing or predicting the data uncertainty along with the face ...
Qiang Meng +3 more
semanticscholar +1 more source
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Computer Vision and Pattern Recognition, 2018 One of the main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large-scale face recognition is the design of appropriate loss functions that can enhance the discriminative power.
Jiankang Deng, J. Guo, S. Zafeiriou
semanticscholar +1 more source
Extensive primary oral malignant melanoma: A case report with review of literature
Advances in Oral and Maxillofacial Surgery, 2022 Oral mucosal melanoma is an exceptionally rare tumor with the tendency to metastasize and locally invade tissues more readily than other malignant tumor of the oral cavity.
Walid Bijou +6 more
doaj +1 more source
Intonation in Spanish declaratives : differences between lab speech and spontaneous speech [PDF]
, 2003 The present study compares the intonation of Spanish declarative utterances in lab speech and spontaneous speech. Most studies of Spanish intonation have used lab speech, collected in an experimental setting and often scripted. This allows the researcher
Face, Timothy L.
core +3 more sources