task_path
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⌀ | dataset
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⌀ | model_name
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⌀ | paper_url
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⌀ | metric_name
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⌀ | metric_value
stringlengths 1
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⌀ |
|---|---|---|---|---|---|
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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