Face Detection

128 papers with code • 13 benchmarks • 35 datasets

Face Detection is a computer vision task that involves automatically identifying and locating human faces within digital images or videos. It is a fundamental technology that underpins many applications such as face recognition, face tracking, and facial analysis.

( Image credit: insightface )


Use these libraries to find Face Detection models and implementations

Most implemented papers

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

serengil/deepface 11 Apr 2016

Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations and occlusions.

Finding Tiny Faces

peiyunh/tiny CVPR 2017

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

Real-time Convolutional Neural Networks for Emotion and Gender Classification

oarriaga/face_classification 20 Oct 2017

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

LFFD: A Light and Fast Face Detector for Edge Devices

YonghaoHe/A-Light-and-Fast-Face-Detector-for-Edge-Devices 24 Apr 2019

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).

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

PaddlePaddle/PaddleDetection 11 Jul 2019

We present BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference.

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

Li-Chongyi/Zero-DCE CVPR 2020

The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network.

Object Detection with Pixel Intensity Comparisons Organized in Decision Trees

nenadmarkus/pico 20 May 2013

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

Can we still avoid automatic face detection?

cydonia999/Tiny_Faces_in_Tensorflow 14 Feb 2016

In this setting, is it still possible for privacy-conscientious users to avoid automatic face detection and recognition?

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

sfzhang15/FaceBoxes 17 Aug 2017

The MSCL aims at enriching the receptive fields and discretizing anchors over different layers to handle faces of various scales.