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
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
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
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors.
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
serengil/deepface
•
•
CVPR 2020
Though tremendous strides have been made in uncontrolled face detection, accurate and efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open challenge.
MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream
AdivarekarBhumit/ID-Card-Segmentation
•
•
The main goal of this paper is to present a dataset.
Max-Margin Object Detection
qvdang-dev/Facial-Recognition
•
•
This avoids the computational difficulty of dealing with the entire set of sub-windows, however, as we will show in this paper, it leads to sub-optimal detector performance.
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
tfwu/FaceDetection-ConvNet-3D
•
•
The proposed method addresses two issues in adapting state- of-the-art generic object detection ConvNets (e. g., faster R-CNN) for face detection: (i) One is to eliminate the heuristic design of prede- fined anchor boxes in the region proposals network (RPN) by exploit- ing a 3D mean face model.
PyramidBox: A Context-assisted Single Shot Face Detector
PaddlePaddle/models
•
•
ECCV 2018
This paper proposes a novel context-assisted single shot face detector, named \emph{PyramidBox} to handle the hard face detection problem.
Real-world adversarial attack on MTCNN face detection system
Recent studies proved that deep learning approaches achieve remarkable results on face detection task.
Sample and Computation Redistribution for Efficient Face Detection
deepinsight/insightface
•
•
ICLR 2022
Although tremendous strides have been made in uncontrolled face detection, efficient face detection with a low computation cost as well as high precision remains an open challenge.
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data is stored or sent over the network at various stages of the analytics pipeline.
DSFD: Dual Shot Face Detector
Tencent/FaceDetection-DSFD
•
•
CVPR 2019
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.
