SANet: Smoothed attention network for single stage face detector
Recently, significant effort has been devoted to exploring the role of feature fusion and
enriching contextual information on detecting multi-scale faces. However, simply integrating …
enriching contextual information on detecting multi-scale faces. However, simply integrating …
SSFD+: A Robust Two-Stage Face Detector
Face detectors based on deep learning have demonstrated great progress in detecting multi-
scale faces by using multi-scale feature maps and input pyramids. However, using input …
scale faces by using multi-scale feature maps and input pyramids. However, using input …
[BOOK][B] PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8 …
This three-volume set, LNAI 13031, LNAI 13032, and LNAI 13033 constitutes the thoroughly
refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI …
refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI …
Pupilface: A cascaded face detection and location network fusing attention
X Li, J Zou - PRICAI 2021: Trends in Artificial Intelligence: 18th …, 2021 - Springer
Although the development of uncontrolled face detection and location technology have
made great progress, there are some problems needing to be solved in more complicated …
made great progress, there are some problems needing to be solved in more complicated …
SEFD: A Simple and Effective Single Stage Face Detector
Recently, the state-of-the-art face detectors are extending a backbone network by adding
more feature fusion and context extractor layers to localize multi-scale faces. Therefore, they …
more feature fusion and context extractor layers to localize multi-scale faces. Therefore, they …
Open source face recognition performance evaluation package
X Xu, IA Kakadiaris - arxiv preprint arxiv:1901.09447, 2019 - arxiv.org
Biometrics-related research has been accelerated significantly by deep learning technology.
However, there are limited open-source resources to help researchers evaluate their deep …
However, there are limited open-source resources to help researchers evaluate their deep …
Facial attribute classification: A comprehensive study and a novel mid-level fusion classifier
This paper addresses the problem of automatically classifying attributes related to a person's
appearance near the face. Example attributes include presence or absence of eyeglasses …
appearance near the face. Example attributes include presence or absence of eyeglasses …
FaRE: Open source face recognition performance evaluation package
X Xu, IA Kakadiaris - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Biometrics-related research has been accelerated significantly by deep learning technology.
However, there are limited open-source resources to help researchers evaluate their deep …
However, there are limited open-source resources to help researchers evaluate their deep …
Face Recognition in the presence of variance in Pose, Expression, and Occlusions
X Xu - 2019 - search.proquest.com
Face recognition is a technology in which a computing device either classifies a human
identity based on a facial image or verifies whether two images belong to the same subject …
identity based on a facial image or verifies whether two images belong to the same subject …