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Face.evoLVe: Face Recognition Library (align, detect, augment, ResNet, DenseNet, MobileNet, etc.)

Face.evoLVe: Face Recognition Library (align, detect, augment, ResNet, DenseNet, MobileNet, etc.)


Face.evoLVe: A High-Performance Face Recognition Library





We develop a comprehensive library, namely face.evoLVe, for face-related analytics and applications,


including face alignment (e.g., detection, landmark localization, affine transformation, etc.),


data processing (e.g., augmentation, data balancing, normalization, etc.), where


various backbones (e.g., ResNet, IR, IR-SE, ResNeXt, SE-ResNeXt, DenseNet, LightCNN, MobileNet, ShuffleNet , DPN, etc.) with


alternating losses (e.g., Softmax, Focal, Center, SphereFace, CosFace, AmSoftmax, ArcFace, Triplet, etc.) and


bags of tricks (e.g., training refinements, model tweaks, knowledge distillation, etc.) for improving performance have been


provided in standard implementations.


... supports multi-GPU training on top of different deep learning platforms, such as PyTorch and PaddlePaddle


... Note that we have used face.evoLVe to participate in a number of face recognition competitions and secured the first place. ...



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