Face Identification

19 papers with code · Computer Vision

Face identification is the task of matching a given face image to one in an existing database of faces. It is the second part of face recognition (the first part being detection). It is a one-to-many mapping: you have to find an unknown person in a database to find who that person is.

Benchmarks

Latest papers with code

Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition

23 Apr 2020airglow/sl-dml

Our approach based on a signal-level formulation remains flexible across a variety of modalities while outperforming the baseline on the large scale NTU RGB+D 120 dataset for the One-Shot action recognition protocol by 4. 2%.

ACTION RECOGNITION FACE IDENTIFICATION METRIC LEARNING OBJECT RECOGNITION ONE-SHOT 3D ACTION RECOGNITION

1
23 Apr 2020

Editable Neural Networks

ICLR 2020 editable-ICLR2020/editable

We empirically demonstrate the effectiveness of this method on large-scale image classification and machine translation tasks.

FACE IDENTIFICATION IMAGE CLASSIFICATION MACHINE TRANSLATION SELF-DRIVING CARS

25
01 Apr 2020

MarginDistillation: distillation for margin-based softmax

5 Mar 2020david-svitov/margindistillation

The usage of convolutional neural networks (CNNs) in conjunction with a margin-based softmax approach demonstrates a state-of-the-art performance for the face recognition problem.

FACE IDENTIFICATION FACE RECOGNITION

31
05 Mar 2020

FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning

4 Nov 2019swordcheng/FCSR-GAN

Combined variations containing low-resolution and occlusion often present in face images in the wild, e. g., under the scenario of video surveillance.

FACE IDENTIFICATION FACIAL INPAINTING MULTI-TASK LEARNING SUPER-RESOLUTION

34
04 Nov 2019

VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition

11 Oct 2019zma-c-137/VarGFaceNet

To improve the discriminative and generalization ability of lightweight network for face recognition, we propose an efficient variable group convolutional network called VarGFaceNet.

FACE DETECTION FACE IDENTIFICATION FACE RECOGNITION

249
11 Oct 2019

Git Loss for Deep Face Recognition

23 Jul 2018kjanjua26/Git-Loss-For-Deep-Face-Recognition

Conventionally, CNNs have been trained with softmax as supervision signal to penalize the classification loss.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

32
23 Jul 2018

Pose-Robust Face Recognition via Deep Residual Equivariant Mapping

CVPR 2018 penincillin/DREAM

However, many contemporary face recognition models still perform relatively poor in processing profile faces compared to frontal faces.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION ROBUST FACE RECOGNITION

343
02 Mar 2018

Ring loss: Convex Feature Normalization for Face Recognition

CVPR 2018 Paralysis/ringloss

We motivate and present Ring loss, a simple and elegant feature normalization approach for deep networks designed to augment standard loss functions such as Softmax.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

83
28 Feb 2018

CosFace: Large Margin Cosine Loss for Deep Face Recognition

CVPR 2018 cvqluu/Additive-Margin-Softmax-Loss-Pytorch

More specifically, we reformulate the softmax loss as a cosine loss by $L_2$ normalizing both features and weight vectors to remove radial variations, based on which a cosine margin term is introduced to further maximize the decision margin in the angular space.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

161
29 Jan 2018

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

CVPR 2019 deepinsight/insightface

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 enhance discriminative power.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

7,214
23 Jan 2018