task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Facial Recognition and Modelling > Face Detection | Annotated Faces in the Wild | Conv3D | http://arxiv.org/abs/1606.00850v3 | AP | 0.9597 |
Facial Recognition and Modelling > Face Detection | WIDER FACE | MobileNetV1-0.25 | https://arxiv.org/abs/2104.14125v1 | Average Top-1 Accuracy | 68.98 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | ASFD-D6 | https://arxiv.org/abs/2201.10781v1 | AP | 0.972 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | RetinaFace+Lpts+Lpixel | https://arxiv.org/abs/1905.00641v2 | AP | 0.96942 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | YOLOv5x6 | https://arxiv.org/abs/2105.12931v3 | AP | 0.9667 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | AInnoFace | https://arxiv.org/abs/1905.01585v3 | AP | 0.965 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | YOLOv5m6 | https://arxiv.org/abs/2105.12931v3 | AP | 0.9638 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | Poly-NL(ResNet-50) | https://arxiv.org/abs/2107.02859v1 | AP | 0.9637 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | PyramidBox | http://arxiv.org/abs/1803.07737v2 | AP | 0.961 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | SCRFD-34GF | https://arxiv.org/abs/2105.04714v1 | AP | 0.9606 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | DSFD (RFB) | http://arxiv.org/abs/1810.10220v3 | AP | 0.96 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | SRN | http://arxiv.org/abs/1809.02693v1 | AP | 0.959 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | + DH + HIM | http://arxiv.org/abs/1811.11662v1 | AP | 0.957 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | MogFace (SSE) | https://arxiv.org/abs/2103.11139v5 | AP | 0.956 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | YOLOv5s6 | https://arxiv.org/abs/2105.12931v3 | AP | 0.953 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | SCRFD-10GF | https://arxiv.org/abs/2105.04714v1 | AP | 0.9516 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | MogFace (HCAM) | https://arxiv.org/abs/2103.11139v5 | AP | 0.951 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | FDNet | http://arxiv.org/abs/1802.02142v1 | AP | 0.950 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | MogFace (Ali-AMS) | https://arxiv.org/abs/2103.11139v5 | AP | 0.946 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | YOLOv5s | https://arxiv.org/abs/2105.12931v3 | AP | 0.9433 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | Face R-FCN | http://arxiv.org/abs/1709.05256v2 | AP | 0.943 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | SCRFD-2.5GF | https://arxiv.org/abs/2105.04714v1 | AP | 0.9378 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | S3FD(F+S+M) | http://arxiv.org/abs/1708.05237v3 | AP | 0.937 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | CenterFace | https://arxiv.org/abs/1911.03599v1 | AP | 0.932 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | SCRFD-0.5GF | https://arxiv.org/abs/2105.04714v1 | AP | 0.9057 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | img2pose | https://arxiv.org/abs/2012.07791v2 | AP | 0.9 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | LFFD | https://arxiv.org/abs/1904.10633v3 | AP | 0.896 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | Multitask Cascade CNN | http://arxiv.org/abs/1604.02878v1 | AP | 0.851 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Easy) | FD-CNN | https://www.researchgate.net/publication/308944615_A_Fast_Deep_Convolutional_Neural_Network_for_Face_Detection_in_Big_Visual_Data | AP | 0.773 |
Facial Recognition and Modelling > Face Detection | ADE20K | CASSOD | https://arxiv.org/abs/2104.14126v1 | mIoU | 42.86 |
Facial Recognition and Modelling > Face Detection | WIDER Face | Condensation-Net | https://arxiv.org/abs/2104.14124v1 | Average Precision | 93.86 |
Facial Recognition and Modelling > Face Detection | WIDER Face | IFQ-Tinier-YOLO | https://arxiv.org/abs/1911.05341v1 | GFLOPs | 0.1079 |
Facial Recognition and Modelling > Face Detection | PASCAL Face | SRN | http://arxiv.org/abs/1809.02693v1 | AP | 0.9909 |
Facial Recognition and Modelling > Face Detection | PASCAL Face | S3FD | http://arxiv.org/abs/1708.05237v3 | AP | 0.9849 |
Facial Recognition and Modelling > Face Detection | PASCAL Face | FaceBoxes | http://arxiv.org/abs/1708.05234v4 | AP | 0.9630 |
Facial Recognition and Modelling > Face Detection | PASCAL Face | HyperFace-ResNet | http://arxiv.org/abs/1603.01249v3 | AP | 0.9620 |
Facial Recognition and Modelling > Face Detection | PASCAL Face | STN | http://arxiv.org/abs/1607.05477v1 | AP | 0.9410 |
Facial Recognition and Modelling > Face Detection | PASCAL Face | DPM | https://arxiv.org/abs/1408.1656v3 | AP | 0.9029 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (Hourglass-104) | https://arxiv.org/abs/2106.04269v2 | AP | 56.4 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (Hourglass-104) | https://arxiv.org/abs/2106.04269v2 | AP50 | 82.4 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (Hourglass-104) | https://arxiv.org/abs/2106.04269v2 | AP75 | 67.1 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (Hourglass-104) | https://arxiv.org/abs/2106.04269v2 | APM | 43.4 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (Hourglass-104) | https://arxiv.org/abs/2106.04269v2 | APL | 63.3 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (DLA) | https://arxiv.org/abs/2106.04269v2 | AP | 55.8 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (DLA) | https://arxiv.org/abs/2106.04269v2 | AP50 | 82.3 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (DLA) | https://arxiv.org/abs/2106.04269v2 | AP75 | 66.2 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (DLA) | https://arxiv.org/abs/2106.04269v2 | APM | 40 |
Facial Recognition and Modelling > Face Detection | COCO-WholeBody | HPRNet (DLA) | https://arxiv.org/abs/2106.04269v2 | APL | 63.6 |
Facial Recognition and Modelling > Face Detection | FDDB | DSFD | http://arxiv.org/abs/1810.10220v3 | AP | 0.991 |
Facial Recognition and Modelling > Face Detection | FDDB | Face R-FCN | http://arxiv.org/abs/1709.05256v2 | AP | 0.990 |
Facial Recognition and Modelling > Face Detection | FDDB | SRN | http://arxiv.org/abs/1809.02693v1 | AP | 0.988 |
Facial Recognition and Modelling > Face Detection | FDDB | PyramidBox | http://arxiv.org/abs/1803.07737v2 | AP | 0.987 |
Facial Recognition and Modelling > Face Detection | FDDB | S3FD | http://arxiv.org/abs/1708.05237v3 | AP | 0.983 |
Facial Recognition and Modelling > Face Detection | FDDB | LFFD | https://arxiv.org/abs/1904.10633v3 | AP | 0.973 |
Facial Recognition and Modelling > Face Detection | FDDB | FaceBoxes | http://arxiv.org/abs/1708.05234v4 | AP | 0.960 |
Facial Recognition and Modelling > Face Detection | FDDB | HyperFace | http://arxiv.org/abs/1603.01249v3 | AP | 0.901 |
Facial Recognition and Modelling > Face Detection | FDDB | DPM | https://arxiv.org/abs/1408.1656v3 | AP | 0.864 |
Facial Recognition and Modelling > Face Detection | FDDB | IFQ-Tinier-YOLO(k=2) | https://arxiv.org/abs/1911.08076v1 | AP | 0.84 |
Facial Recognition and Modelling > Face Detection | FDDB | Condensation-Net | https://arxiv.org/abs/2104.14124v1 | Accuracy | 91.82 |
Facial Recognition and Modelling > Face Detection | DCM | DASS-Detector (YOLOX XL) | https://arxiv.org/abs/2211.10641v2 | Average Precision | 77.40 |
Facial Recognition and Modelling > Face Detection | DCM | DASS-Detector (YOLOX Tiny) | https://arxiv.org/abs/2211.10641v2 | Average Precision | 77.40 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | Poly-NL(ResNet-50) | https://arxiv.org/abs/2107.02859v1 | AP | 0.9276 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | ASFD-D6 | https://arxiv.org/abs/2201.10781v1 | AP | 0.925 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | RetinaFace+Lpts+Lpixel | https://arxiv.org/abs/1905.00641v2 | AP | 0.91857 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | AInnoFace | https://arxiv.org/abs/1905.01585v3 | AP | 0.912 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | DupNet-L+PACT | https://arxiv.org/abs/1911.05341v1 | AP | 0.906 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | DSFD | http://arxiv.org/abs/1810.10220v3 | AP | 0.9 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | + DH + HIM | http://arxiv.org/abs/1811.11662v1 | AP | 0.897 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | FDNet | http://arxiv.org/abs/1802.02142v1 | AP | 0.896 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | SRN | http://arxiv.org/abs/1809.02693v1 | AP | 0.896 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | PyramidBox | http://arxiv.org/abs/1803.07737v2 | AP | 0.889 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | Face R-FCN | http://arxiv.org/abs/1709.05256v2 | AP | 0.876 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | MogFace (HCAM) | https://arxiv.org/abs/2103.11139v5 | AP | 0.874 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | CenterFace | https://arxiv.org/abs/1911.03599v1 | AP | 0.873 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | MogFace (Ali-AMS) | https://arxiv.org/abs/2103.11139v5 | AP | 0.873 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | WSMA-Seg | https://arxiv.org/abs/1904.13300v3 | AP | 0.8723 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | DSFD (RFB) | http://arxiv.org/abs/1810.10220v3 | AP | 0.872 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | YOLOv5x6 | https://arxiv.org/abs/2105.12931v3 | AP | 0.8655 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | YOLOv5l6 | https://arxiv.org/abs/2105.12931v3 | AP | 0.8588 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | SCRFD-34GF | https://arxiv.org/abs/2105.04714v1 | AP | 0.8529 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | S3FD(F+S+M) | http://arxiv.org/abs/1708.05237v3 | AP | 0.852 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | YOLOv5m | https://arxiv.org/abs/2105.12931v3 | AP | 0.852 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | EXTD | https://arxiv.org/abs/1906.06579v2 | AP | 0.850 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | YOLOv5l | https://arxiv.org/abs/2105.12931v3 | AP | 0.845 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | img2pose | https://arxiv.org/abs/2012.07791v2 | AP | 0.839 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | SCRFD-10GF | https://arxiv.org/abs/2105.04714v1 | AP | 0.8305 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | YOLOv5s | https://arxiv.org/abs/2105.12931v3 | AP | 0.828 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | Massively-large receptive fields | http://arxiv.org/abs/1612.04402v2 | AP | 0.823 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | MSCNN | http://arxiv.org/abs/1607.07155v1 | AP | 0.809 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | SCRFD-2.5GF | https://arxiv.org/abs/2105.04714v1 | AP | 0.7787 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | LFFD | https://arxiv.org/abs/1904.10633v3 | AP | 0.770 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | RNNPool-Face-C | https://arxiv.org/abs/2002.11921v2 | AP | 0.70 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | SCRFD-0.5GF | https://arxiv.org/abs/2105.04714v1 | AP | 0.6851 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | CMS-RCNN | http://arxiv.org/abs/1606.05413v1 | AP | 0.643 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | Multitask Cascade CNN | http://arxiv.org/abs/1604.02878v1 | AP | 0.607 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | LDCF+ | http://arxiv.org/abs/1701.01692v1 | AP | 0.564 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | FD-CNN | https://www.researchgate.net/publication/308944615_A_Fast_Deep_Convolutional_Neural_Network_for_Face_Detection_in_Big_Visual_Data | AP | 0.51 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | Multiscale Cascade CNN | http://arxiv.org/abs/1511.06523v1 | AP | 0.400 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | Faceness-WIDER | http://arxiv.org/abs/1511.06523v1 | AP | 0.315 |
Facial Recognition and Modelling > Face Detection | WIDER Face (Hard) | Two-stage CNN | http://arxiv.org/abs/1511.06523v1 | AP | 0.304 |
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