SOTAVerified

Face Detection

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 )

Papers

Showing 401–450 of 536 papers

TitleStatusHype
Attentive Semantic Exploring for Manipulated Face Detection—0
MaskFace: multi-task face and landmark detector—0
Mask wearing object detection algorithm based on improved YOLOv5—0
Methodology for Building Synthetic Datasets with Virtual Humans—0
Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm—0
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis—0
MIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling—0
Model Discrepancy Learning: Synthetic Faces Detection Based on Multi-Reconstruction—0
Modeling biological face recognition with deep convolutional neural networks—0
Multi-Branch Fully Convolutional Network for Face Detection—0
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification—0
Multi-Path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained "Hard Faces"—0
Multiple-Instance Pruning For Learning Efficient Cascade Detectors—0
Multi-task Learning of Cascaded CNN for Facial Attribute Classification—0
Neonatal Face and Facial Landmark Detection from Video Recordings—0
Novel and Tuneable Method for Skin Detection Based on Hybrid Color Space and Color Statistical Features—0
Object Detection using Image Processing—0
Object Detection with Deep Learning: A Review—0
Object Specific Deep Learning Feature and Its Application to Face Detection—0
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model—0
Occupancy Detection in Vehicles Using Fisher Vector Image Representation—0
One-Shot GAN Generated Fake Face Detection—0
One-to-many face recognition with bilinear CNNs—0
On The Causal Network Of Face-selective Regions In Human Brain During Movie Watching—0
On the Effect of Selfie Beautification Filters on Face Detection and Recognition—0
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces—0
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild—0
Optimized clothes segmentation to boost gender classification in unconstrained scenarios—0
PAL: Intelligence Augmentation using Egocentric Visual Context Detection—0
Partial Face Detection for Continuous Authentication—0
Partial Face Detection in the Mobile Domain—0
Percol0 - un syst\`eme multimodal de d\'etection de personnes dans des documents vid\'eo (Percol0 - A multimodal person detection system in video documents) [in French]—0
Performance analysis of facial recognition: A critical review through glass factor—0
Pixelation is NOT Done in Videos Yet—0
Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming—0
Person Detection in Collaborative Group Learning Environments Using Multiple Representations—0
Physical Attribute Prediction Using Deep Residual Neural Networks—0
PiBase: An IoT-based Security System using Raspberry Pi and Google Firebase—0
PIE: Physics-inspired Low-light Enhancement—0
Poly-NL: Linear Complexity Non-local Layers with Polynomials—0
Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials—0
Pooling Facial Segments to Face: The Shallow and Deep Ends—0
PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network—0
Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy—0
Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection—0
Predicting human gaze using low-level saliency combined with face detection—0
From Facial Parts Responses to Face Detection: A Deep Learning ApproachCode0
Finding Tiny FacesCode0
Object Detection with Pixel Intensity Comparisons Organized in Decision TreesCode0
Real-world adversarial attack on MTCNN face detection systemCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Poly-NL(ResNet-50)AP0.93—Unverified
2ASFD-D6AP0.93—Unverified
3RetinaFace+Lpts+LpixelAP0.92—Unverified
4AInnoFaceAP0.91—Unverified
5DupNet-L+PACTAP0.91—Unverified
6DSFDAP0.9—Unverified
7+ DH + HIMAP0.9—Unverified
8SRNAP0.9—Unverified
9FDNetAP0.9—Unverified
10PyramidBoxAP0.89—Unverified
#ModelMetricClaimedVerifiedStatus
1ASFD-D6AP0.97—Unverified
2RetinaFace+Lpts+LpixelAP0.96—Unverified
3Poly-NL(ResNet-50)AP0.96—Unverified
4AInnoFaceAP0.96—Unverified
5DSFDAP0.95—Unverified
6YOLOv5x6AP0.95—Unverified
7SCRFD-34GFAP0.95—Unverified
8+ DH + HIMAP0.95—Unverified
9YOLOv5l6AP0.95—Unverified
10SRNAP0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1ASFD-D6AP0.97—Unverified
2RetinaFace+Lpts+LpixelAP0.97—Unverified
3YOLOv5x6AP0.97—Unverified
4AInnoFaceAP0.97—Unverified
5YOLOv5m6AP0.96—Unverified
6Poly-NL(ResNet-50)AP0.96—Unverified
7PyramidBoxAP0.96—Unverified
8SCRFD-34GFAP0.96—Unverified
9DSFD (RFB)AP0.96—Unverified
10SRNAP0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1Condensation-NetAccuracy91.82—Unverified
2DSFDAP0.99—Unverified
3Face R-FCNAP0.99—Unverified
4SRNAP0.99—Unverified
5PyramidBoxAP0.99—Unverified
6S3FDAP0.98—Unverified
7LFFDAP0.97—Unverified
8FaceBoxesAP0.96—Unverified
9HyperFaceAP0.9—Unverified
10DPMAP0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1SRNAP1—Unverified
2HyperFace-ResNetAP0.99—Unverified
3LRN + RSAAP0.99—Unverified
4FaceBoxesAP0.99—Unverified
5STNAP0.98—Unverified
6DPMAP0.97—Unverified
7Conv3DAP0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1SRNAP0.99—Unverified
2S3FDAP0.98—Unverified
3FaceBoxesAP0.96—Unverified
4HyperFace-ResNetAP0.96—Unverified
5STNAP0.94—Unverified
6DPMAP0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Condensation-NetAverage Precision93.86—Unverified
2MobileNetV1-0.25Average Top-1 Accuracy68.98—Unverified
3IFQ-Tinier-YOLOGFLOPs0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1HPRNet (Hourglass-104)AP56.4—Unverified
2HPRNet (DLA)AP55.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DASS-Detector (YOLOX Tiny)Average Precision77.4—Unverified
2DASS-Detector (YOLOX XL)Average Precision77.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DASS-Detector (YOLOX XL)Average Precision90.01—Unverified
2DASS-Detector (YOLOX Tiny)Average Precision87.75—Unverified
#ModelMetricClaimedVerifiedStatus
1CASSODmIoU42.86—Unverified