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 1–10 of 536 papers
All datasetsWIDER Face (Hard)WIDER Face (Medium)WIDER Face (Easy)FDDBAnnotated Faces in the WildPASCAL FaceWIDER FACECOCO-WholeBodyDCMiCartoonFaceADE20K
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Poly-NL(ResNet-50) | AP | 0.93 | — | Unverified |
| 2 | ASFD-D6 | AP | 0.93 | — | Unverified |
| 3 | RetinaFace+Lpts+Lpixel | AP | 0.92 | — | Unverified |
| 4 | AInnoFace | AP | 0.91 | — | Unverified |
| 5 | DupNet-L+PACT | AP | 0.91 | — | Unverified |
| 6 | DSFD | AP | 0.9 | — | Unverified |
| 7 | + DH + HIM | AP | 0.9 | — | Unverified |
| 8 | SRN | AP | 0.9 | — | Unverified |
| 9 | FDNet | AP | 0.9 | — | Unverified |
| 10 | PyramidBox | AP | 0.89 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ASFD-D6 | AP | 0.97 | — | Unverified |
| 2 | RetinaFace+Lpts+Lpixel | AP | 0.96 | — | Unverified |
| 3 | Poly-NL(ResNet-50) | AP | 0.96 | — | Unverified |
| 4 | AInnoFace | AP | 0.96 | — | Unverified |
| 5 | DSFD | AP | 0.95 | — | Unverified |
| 6 | YOLOv5x6 | AP | 0.95 | — | Unverified |
| 7 | SCRFD-34GF | AP | 0.95 | — | Unverified |
| 8 | + DH + HIM | AP | 0.95 | — | Unverified |
| 9 | YOLOv5l6 | AP | 0.95 | — | Unverified |
| 10 | SRN | AP | 0.95 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ASFD-D6 | AP | 0.97 | — | Unverified |
| 2 | RetinaFace+Lpts+Lpixel | AP | 0.97 | — | Unverified |
| 3 | YOLOv5x6 | AP | 0.97 | — | Unverified |
| 4 | AInnoFace | AP | 0.97 | — | Unverified |
| 5 | YOLOv5m6 | AP | 0.96 | — | Unverified |
| 6 | Poly-NL(ResNet-50) | AP | 0.96 | — | Unverified |
| 7 | PyramidBox | AP | 0.96 | — | Unverified |
| 8 | SCRFD-34GF | AP | 0.96 | — | Unverified |
| 9 | DSFD (RFB) | AP | 0.96 | — | Unverified |
| 10 | SRN | AP | 0.96 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Condensation-Net | Accuracy | 91.82 | — | Unverified |
| 2 | DSFD | AP | 0.99 | — | Unverified |
| 3 | Face R-FCN | AP | 0.99 | — | Unverified |
| 4 | SRN | AP | 0.99 | — | Unverified |
| 5 | PyramidBox | AP | 0.99 | — | Unverified |
| 6 | S3FD | AP | 0.98 | — | Unverified |
| 7 | LFFD | AP | 0.97 | — | Unverified |
| 8 | FaceBoxes | AP | 0.96 | — | Unverified |
| 9 | HyperFace | AP | 0.9 | — | Unverified |
| 10 | DPM | AP | 0.86 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Condensation-Net | Average Precision | 93.86 | — | Unverified |
| 2 | MobileNetV1-0.25 | Average Top-1 Accuracy | 68.98 | — | Unverified |
| 3 | IFQ-Tinier-YOLO | GFLOPs | 0.11 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | HPRNet (Hourglass-104) | AP | 56.4 | — | Unverified |
| 2 | HPRNet (DLA) | AP | 55.8 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DASS-Detector (YOLOX Tiny) | Average Precision | 77.4 | — | Unverified |
| 2 | DASS-Detector (YOLOX XL) | Average Precision | 77.4 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DASS-Detector (YOLOX XL) | Average Precision | 90.01 | — | Unverified |
| 2 | DASS-Detector (YOLOX Tiny) | Average Precision | 87.75 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CASSOD | mIoU | 42.86 | — | Unverified |