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
Latest papers with no code
Fully Quantized Always-on Face Detector Considering Mobile Image Sensors
In this study, we aim to bridge the gap by exploring extremely low-bit lightweight face detectors, focusing on the always-on face detection scenario for mobile image sensor applications.
Mask wearing object detection algorithm based on improved YOLOv5
Our proposed method significantly enhances the detection capability of mask-wearing.
Deep Learning for Automatic Detection and Facial Recognition in Japanese Macaques: Illuminating Social Networks
We also created a K{\=o}jima population social network by traditional methods, based on co-occurrences on videos.
End-to-end Evaluation of Practical Video Analytics Systems for Face Detection and Recognition
We then evaluate the end-to-end system performance sequentially to account for task interdependencies.
A Real-Time Multi-Task Learning System for Joint Detection of Face, Facial Landmark and Head Pose
Extreme head postures pose a common challenge across a spectrum of facial analysis tasks, including face detection, facial landmark detection (FLD), and head pose estimation (HPE).
Efficient Face Detection with Audio-Based Region Proposals for Human-Robot Interactions
However, computer vision tends to involve a large computational load due to the amount of data (i. e. pixels) that needs to be processed in a short amount of time.
Sparse Models for Machine Learning
The sparse modeling is an evident manifestation capturing the parsimony principle just described, and sparse models are widespread in statistics, physics, information sciences, neuroscience, computational mathematics, and so on.
A Lightweight and Accurate Face Detection Algorithm Based on Retinaface
In this paper, we propose a lightweight and accurate face detection algorithm LAFD (Light and accurate face detection) based on Retinaface.
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision
Extracting useful visual cues for the downstream tasks is especially challenging under low-light vision.
Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
Although face recognition starts to play an important role in our daily life, we need to pay attention that data-driven face recognition vision systems are vulnerable to adversarial attacks.
