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Self-Attentioned Arcface Towards Improved Efficiency for Deep Face Recognition

https://doi.org/10.2139/ssrn.4898101
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inferredcites →https://doi.org/10.1007/978-3-319-46487-9_6openalex-snapshot
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
inferredcites →https://doi.org/10.1016/j.patcog.2021.108473openalex-snapshot
Self-restrained triplet loss for accurate masked face recognition
inferredcites →https://doi.org/10.1016/j.patcog.2021.108510openalex-snapshot
Attentive occlusion-adaptive deep network for facial landmark detection
inferredcites →https://doi.org/10.1016/j.patcog.2022.109142openalex-snapshot
PLFace: Progressive Learning for Face Recognition with Mask Bias
inferredcites →https://doi.org/10.1016/j.patcog.2023.109443openalex-snapshot
Hybrid token transformer for deep face recognition
inferredcites →https://doi.org/10.1016/j.patcog.2023.109552openalex-snapshot
HeadPose-Softmax: Head pose adaptive curriculum learning loss for deep face recognition
inferredcites →https://doi.org/10.1016/j.patcog.2023.110195openalex-snapshot
SSIR: Spatial shuffle multi-head self-attention for Single Image Super-Resolution
inferredcites →https://doi.org/10.1016/j.patcog.2024.110311openalex-snapshot
Pose-robust personalized facial expression recognition through unsupervised multi-source domain adaptation
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.713openalex-snapshot
SphereFace: Deep Hypersphere Embedding for Face Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00552openalex-snapshot
CosFace: Large Margin Cosine Loss for Deep Face Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-snapshot
Non-local Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00482openalex-snapshot
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00594openalex-snapshot
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01819openalex-snapshot
AdaFace: Quality Adaptive Margin for Face Recognition
inferredcites →https://doi.org/10.1109/cvprw.2017.250openalex-snapshot
AgeDB: The First Manually Collected, In-the-Wild Age Database
inferredcites →https://doi.org/10.1109/cvprw.2017.87openalex-snapshot
IARPA Janus Benchmark-B Face Dataset
inferredcites →https://doi.org/10.1109/fg.2018.00020openalex-snapshot
VGGFace2: A Dataset for Recognising Faces across Pose and Age
inferredcites →https://doi.org/10.1109/icb2018.2018.00033openalex-snapshot
IARPA Janus Benchmark - C: Face Dataset and Protocol
inferredcites →https://doi.org/10.1109/iccv.2019.00356openalex-snapshot
Local Relation Networks for Image Recognition
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00166openalex-snapshot
Partial FC: Training 10 Million Identities on a Single Machine
inferredcites →https://doi.org/10.1109/wacv.2016.7477558openalex-snapshot
Frontal to profile face verification in the wild
inferredcites →https://doi.org/10.1609/aaai.v34i07.6906openalex-snapshot
Mis-Classified Vector Guided Softmax Loss for Face Recognition
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1708.08197openalex-snapshot
Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments
inferredcites →https://doi.org/10.48550/arxiv.1805.08318openalex-snapshot
Self-Attention Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1807.09192openalex-snapshot
Multicolumn Networks for Face Recognition
inferredcites →https://doi.org/10.48550/arxiv.2010.05222openalex-snapshot
Partial FC: Training 10 Million Identities on a Single Machine
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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