Face Detection and Recognition

Published: 09 Oct 2015 Category: deep_learning

Papers

Deeply learned face representations are sparse, selective, and robust (DeepID2+)

Deep Learning Face Representation from Predicting 10,000 Classes

Multi-view Face Detection Using Deep Convolutional Neural Networks(Yahoo)

From Facial Parts Responses to Face Detection: A Deep Learning Approach

Deep Face Recognition(BMVC 2015)

FaceNet: A Unified Embedding for Face Recognition and Clustering(CVPR 2015. Google)

Targeting Ultimate Accuracy: Face Recognition via Deep Embedding(CVPR 2015)

Compact Convolutional Neural Network Cascade for Face Detection

WIDER FACE: A Face Detection Benchmark

The MegaFace Benchmark: 1 Million Faces for Recognition at Scale

Code

clmtrackr: Javascript library for precise tracking of facial features via Constrained Local Models

OpenFace: Face Recognition with Deep Neural Networks

OpenFace 0.2.0: Higher accuracy and halved execution time