# Face Identification Edit

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.

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# 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%.

1
23 Apr 2020

# Editable Neural Networks

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

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.

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.

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.

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.

32
23 Jul 2018

# Pose-Robust Face Recognition via Deep Residual Equivariant Mapping

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

343
02 Mar 2018

# Ring loss: Convex Feature Normalization for Face Recognition

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.

83
28 Feb 2018

# CosFace: Large Margin Cosine Loss for Deep Face Recognition

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.

161
29 Jan 2018

# ArcFace: Additive Angular Margin Loss for Deep Face Recognition

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.

7,214
23 Jan 2018