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

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Showing 1–10 of 536 papers

TitleStatusHype
Face mask detection project report.—0
MIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling—0
Colors Matter: AI-Driven Exploration of Human Feature ColorsCode0
Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies—0
LAMM-ViT: AI Face Detection via Layer-Aware Modulation of Region-Guided Attention—0
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration—0
Leveraging Simultaneous Usage of Edge GPU Hardware Engines for Video Face Detection and Recognition—0
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks—0
Robust AI-Generated Face Detection with Imbalanced DataCode0
Transforming faces into video stories -- VideoFace2.0Code0
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All datasetsWIDER Face (Hard)WIDER Face (Medium)WIDER Face (Easy)FDDBAnnotated Faces in the WildPASCAL FaceWIDER FACECOCO-WholeBodyDCMiCartoonFaceADE20K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Condensation-NetAverage Precision93.86—Unverified
2MobileNetV1-0.25Average Top-1 Accuracy68.98—Unverified
3IFQ-Tinier-YOLOGFLOPs0.11—Unverified