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Face detection is the task of detecting faces in a photo or video (and distinguishing them from other objects).

( Image credit: insightface )

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Datasets

Greatest papers with code

PyramidBox: A Context-assisted Single Shot Face Detector

ECCV 2018 PaddlePaddle/models

This paper proposes a novel context-assisted single shot face detector, named \emph{PyramidBox} to handle the hard face detection problem.

FACE DETECTION

Real-time Convolutional Neural Networks for Emotion and Gender Classification

20 Oct 2017oarriaga/face_classification

In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs.

EMOTION CLASSIFICATION FACE DETECTION GENDER PREDICTION

Object Detection with Pixel Intensity Comparisons Organized in Decision Trees

20 May 2013esimov/pigo

We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors.

FACE DETECTION OBJECT DETECTION PICO

DSFD: Dual Shot Face Detector

CVPR 2019 Tencent/FaceDetection-DSFD

In this paper, we propose a novel face detection network with three novel contributions that address three key aspects of face detection, including better feature learning, progressive loss design and anchor assign based data augmentation, respectively.

DATA AUGMENTATION FACE DETECTION

LFFD: A Light and Fast Face Detector for Edge Devices

24 Apr 2019osmr/imgclsmob

Under the new schema, the proposed method can achieve superior accuracy (WIDER FACE Val/Test -- Easy: 0. 910/0. 896, Medium: 0. 881/0. 865, Hard: 0. 780/0. 770; FDDB -- discontinuous: 0. 973, continuous: 0. 724).

FACE DETECTION

Masked Face Recognition Dataset and Application

20 Mar 2020X-zhangyang/Real-World-Masked-Face-Dataset

These datasets are freely available to industry and academia, based on which various applications on masked faces can be developed.

FACE DETECTION FACE RECOGNITION

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

NeurIPS 2020 Microsoft/EdgeML

Standard Convolutional Neural Networks (CNNs) designed for computer vision tasks tend to have large intermediate activation maps.

FACE DETECTION IMAGE CLASSIFICATION

Finding Tiny Faces

CVPR 2017 peiyunh/tiny

We explore three aspects of the problem in the context of finding small faces: the role of scale invariance, image resolution, and contextual reasoning.

FACE DETECTION OBJECT RECOGNITION

CenterFace: Joint Face Detection and Alignment Using Face as Point

9 Nov 2019Star-Clouds/CenterFace

Face detection and alignment in unconstrained environment is always deployed on edge devices which have limited memory storage and low computing power.

FACE DETECTION