Face Detection
133 papers with code • 13 benchmarks • 36 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 )
Benchmarks
These leaderboards are used to track progress in Face Detection
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Libraries
Use these libraries to find Face Detection models and implementations
ADE20K
Manga109
FDDB
AFW
UMDFaces
PASCAL Face
COCO-WholeBody
WIDER
MALF
Most implemented papers
RetinaFace: Single-stage Dense Face Localisation in the Wild
Face Analysis Project on MXNet
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations and occlusions.
Finding Tiny Faces
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
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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
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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).
FaceBoxes: A CPU Real-time Face Detector with High Accuracy
The MSCL aims at enriching the receptive fields and discretizing anchors over different layers to handle faces of various scales.
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
PaddlePaddle/PaddleDetection
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We present BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference.
Can we still avoid automatic face detection?
cydonia999/Tiny_Faces_in_Tensorflow
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In this setting, is it still possible for privacy-conscientious users to avoid automatic face detection and recognition?
CenterFace: Joint Face Detection and Alignment Using Face as Point
Face detection and alignment in unconstrained environment is always deployed on edge devices which have limited memory storage and low computing power.
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Li-Chongyi/Zero-DCE
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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.
