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 151–175 of 536 papers

TitleStatusHype
Detect Faces Efficiently: A Survey and EvaluationsCode3
CYBORG: Blending Human Saliency Into the Loss Improves Deep LearningCode0
Simultaneous face detection and 360 degree headpose estimationCode0
Two-Face: Adversarial Audit of Commercial Face Recognition Systems—0
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset—0
whu-nercms at trecvid2021:instance search task—0
Facial Recognition in Collaborative Learning Videos—0
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose EstimationCode1
On the Effect of Selfie Beautification Filters on Face Detection and Recognition—0
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement—0
COVID-19 Monitoring System using Social Distancing and Face Mask Detection on Surveillance video datasets—0
Bounding-box deep calibration for high performance face detectionCode0
Balanced Masked and Standard Face Recognition—0
EfficientPhys: Enabling Simple, Fast, and Accurate Camera-Based Vitals Measurement—0
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks—0
Robustness Analysis of Deep Learning Frameworks on Mobile PlatformsCode0
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces—0
Robustness Disparities in Commercial Face DetectionCode0
Real-time Indian Sign Language (ISL) Recognition—0
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild—0
PiBase: An IoT-based Security System using Raspberry Pi and Google Firebase—0
Rank-based verification for long-term face tracking in crowded scenesCode1
Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment—0
Enhancing Video Analytics Accuracy via Real-time Automated Camera Parameter Tuning—0
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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