TASK
DATASET
MODEL
METRIC NAME
METRIC VALUE
GLOBAL RANK
EXTRA DATA
REMOVE
Face Alignment
300W
HRNet
NME_inter-ocular (%, Full)
3.32
# 24
Face Alignment
300W
HRNet
NME_inter-ocular (%, Common)
2.87
# 21
Face Alignment
300W
HRNet
NME_inter-ocular (%, Challenge)
5.15
# 24
Instance Segmentation
BDD100K val
HRNet
AP
22.5
# 2
Semantic Segmentation
Cityscapes test
HRNetV2 (train+val)
Mean IoU (class)
81.6%
# 37
Semantic Segmentation
Cityscapes val
HRNetV2 (HRNetV2-W40)
mIoU
80.2
# 47
Semantic Segmentation
Cityscapes val
HRNetV2 (HRNetV2-W48)
mIoU
81.1
# 39
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W48)
box AP
44.6
# 115
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W48)
AP50
62.7
# 57
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W48)
AP75
48.7
# 35
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W48)
APS
26.3
# 39
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W48)
APM
48.1
# 28
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W48)
APL
58.5
# 40
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W18)
box AP
41.3
# 151
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W18)
AP50
59.2
# 85
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W18)
AP75
44.9
# 62
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W18)
APS
23.7
# 59
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W18)
APM
44.2
# 57
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W18)
APL
54.1
# 60
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W32)
box AP
40.9
# 156
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W32)
AP50
61.8
# 63
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W32)
AP75
44.8
# 63
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W32)
APS
24.4
# 54
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W32)
APM
43.7
# 61
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W32)
APL
53.3
# 63
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W18)
box AP
38.0
# 185
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W18)
AP50
58.9
# 89
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W18)
AP75
41.5
# 82
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W18)
APS
22.6
# 67
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W18)
APM
40.8
# 74
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W18)
APL
49.6
# 78
Object Detection
COCO minival
HTC (HRNetV2p-W48)
box AP
47.0
# 93
Object Detection
COCO minival
HTC (HRNetV2p-W48)
APS
28.8
# 22
Object Detection
COCO minival
HTC (HRNetV2p-W48)
APM
50.3
# 20
Object Detection
COCO minival
HTC (HRNetV2p-W48)
APL
62.2
# 23
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W48, cascade)
box AP
46.0
# 102
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W48, cascade)
APS
27.5
# 28
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W48, cascade)
APL
60.1
# 28
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W32, cascade)
APS
26.1
# 40
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W32, cascade)
APM
47.9
# 31
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W18)
box AP
39.2
# 176
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W18)
APM
41.7
# 71
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W18)
APL
51.0
# 73
Object Detection
COCO minival
HTC (HRNetV2p-W32)
box AP
45.3
# 106
Object Detection
COCO minival
HTC (HRNetV2p-W32)
APS
27.0
# 30
Object Detection
COCO minival
HTC (HRNetV2p-W32)
APM
48.4
# 24
Object Detection
COCO minival
HTC (HRNetV2p-W32)
APL
59.5
# 32
Instance Segmentation
COCO minival
HTC (HRNetV2p-W48)
mask AP
41.0
# 65
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W48)
box AP
41.8
# 146
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W48)
AP50
62.8
# 55
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W48)
AP75
45.9
# 56
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W48)
APM
44.7
# 52
Object Detection
COCO minival
Faster R-CNN (HRNetV2p-W48)
APL
54.6
# 59
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W32)
box AP
43.7
# 124
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W32)
AP50
61.7
# 64
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W32)
AP75
47.7
# 41
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W32)
APS
25.6
# 45
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W32)
APM
46.5
# 40
Object Detection
COCO minival
Cascade R-CNN (HRNetV2p-W32)
APL
57.4
# 47
Object Detection
COCO minival
HTC (HRNetV2p-W18)
box AP
43.1
# 132
Object Detection
COCO minival
HTC (HRNetV2p-W18)
APS
26.6
# 36
Object Detection
COCO minival
HTC (HRNetV2p-W18)
APM
46.0
# 43
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W32)
box AP
42.3
# 140
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W32)
APS
25.0
# 51
Object Detection
COCO minival
Mask R-CNN (HRNetV2p-W32)
APM
45.4
# 50
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W32 + cascade)
AP50
62.5
# 108
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W32 + cascade)
AP75
48.6
# 83
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W32 + cascade)
APL
56.3
# 88
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W32 + cascade)
Hardware Burden
16G
# 1
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W32 + cascade)
Operations per network pass
50.6G
# 1
Object Detection
COCO test-dev
HTC (HRNetV2p-W48)
box mAP
47.3
# 114
Object Detection
COCO test-dev
HTC (HRNetV2p-W48)
AP50
65.9
# 69
Object Detection
COCO test-dev
HTC (HRNetV2p-W48)
AP75
51.2
# 63
Object Detection
COCO test-dev
HTC (HRNetV2p-W48)
APS
28.0
# 66
Object Detection
COCO test-dev
HTC (HRNetV2p-W48)
APM
49.7
# 62
Object Detection
COCO test-dev
HTC (HRNetV2p-W48)
APL
59.8
# 60
Object Detection
COCO test-dev
HTC (HRNetV2p-W48)
Hardware Burden
15G
# 1
Object Detection
COCO test-dev
HTC (HRNetV2p-W48)
Operations per network pass
71.7G
# 1
Object Detection
COCO test-dev
Cascade R-CNN (HRNetV2p-W48)
AP75
48.6
# 83
Object Detection
COCO test-dev
Cascade R-CNN (HRNetV2p-W48)
APS
26.0
# 87
Object Detection
COCO test-dev
Cascade R-CNN (HRNetV2p-W48)
APM
47.3
# 83
Object Detection
COCO test-dev
Cascade R-CNN (HRNetV2p-W48)
APL
56.3
# 88
Object Detection
COCO test-dev
Faster R-CNN (HRNetV2p-W48)
box mAP
42.4
# 170
Object Detection
COCO test-dev
Faster R-CNN (HRNetV2p-W48)
AP50
63.6
# 97
Object Detection
COCO test-dev
Faster R-CNN (HRNetV2p-W48)
AP75
46.4
# 110
Object Detection
COCO test-dev
Faster R-CNN (HRNetV2p-W48)
APS
24.9
# 95
Object Detection
COCO test-dev
Faster R-CNN (HRNetV2p-W48)
APM
44.6
# 113
Object Detection
COCO test-dev
Faster R-CNN (HRNetV2p-W48)
APL
53.0
# 119
Object Detection
COCO test-dev
Faster R-CNN (HRNetV2p-W48)
Hardware Burden
16G
# 1
Object Detection
COCO test-dev
Faster R-CNN (HRNetV2p-W48)
Operations per network pass
20.8G
# 1
Object Detection
COCO test-dev
FCOS (HRNetV2p-W48)
box mAP
40.5
# 187
Object Detection
COCO test-dev
FCOS (HRNetV2p-W48)
AP50
59.3
# 137
Object Detection
COCO test-dev
FCOS (HRNetV2p-W48)
APS
23.4
# 111
Object Detection
COCO test-dev
FCOS (HRNetV2p-W48)
APM
42.6
# 128
Object Detection
COCO test-dev
FCOS (HRNetV2p-W48)
APL
51.0
# 132
Object Detection
COCO test-dev
FCOS (HRNetV2p-W48)
Hardware Burden
16G
# 1
Object Detection
COCO test-dev
FCOS (HRNetV2p-W48)
Operations per network pass
27.3G
# 1
Object Detection
COCO test-dev
CenterNet (HRNetV2-W48)
box mAP
43.5
# 152
Object Detection
COCO test-dev
CenterNet (HRNetV2-W48)
AP75
46.5
# 108
Object Detection
COCO test-dev
CenterNet (HRNetV2-W48)
APS
22.2
# 120
Object Detection
COCO test-dev
CenterNet (HRNetV2-W48)
APL
57.8
# 71
Object Detection
COCO test-dev
CenterNet (HRNetV2-W48)
Hardware Burden
16G
# 1
Object Detection
COCO test-dev
CenterNet (HRNetV2-W48)
Operations per network pass
21.7G
# 1
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W48 + cascade)
box mAP
46.1
# 124
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W48 + cascade)
AP50
64.0
# 93
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W48 + cascade)
AP75
50.3
# 76
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W48 + cascade)
APS
27.1
# 74
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W48 + cascade)
APM
48.6
# 71
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W48 + cascade)
APL
58.3
# 66
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W48 + cascade)
Hardware Burden
15G
# 1
Object Detection
COCO test-dev
Mask R-CNN (HRNetV2p-W48 + cascade)
Operations per network pass
61.8G
# 1
Face Alignment
COFW
HRNet
NME (inter-ocular)
3.45
# 12
Face Alignment
COFW-68
HRNetV2-W18
NME (inter-ocular)
5.06
# 6
Semantic Segmentation
DADA-seg
HRNet (ACDC)
mIoU
27.5
# 9
Dichotomous Image Segmentation
DIS-TE1
HRNet
max F-Measure
0.668
# 10
Dichotomous Image Segmentation
DIS-TE1
HRNet
weighted F-measure
0.579
# 9
Dichotomous Image Segmentation
DIS-TE1
HRNet
MAE
0.088
# 9
Dichotomous Image Segmentation
DIS-TE1
HRNet
S-Measure
0.742
# 9
Dichotomous Image Segmentation
DIS-TE1
HRNet
E-measure
0.797
# 10
Dichotomous Image Segmentation
DIS-TE1
HRNet
HCE
262
# 15
Dichotomous Image Segmentation
DIS-TE2
HRNet
max F-Measure
0.747
# 9
Dichotomous Image Segmentation
DIS-TE2
HRNet
weighted F-measure
0.664
# 9
Dichotomous Image Segmentation
DIS-TE2
HRNet
MAE
0.087
# 9
Dichotomous Image Segmentation
DIS-TE2
HRNet
S-Measure
0.784
# 9
Dichotomous Image Segmentation
DIS-TE2
HRNet
E-measure
0.840
# 6
Dichotomous Image Segmentation
DIS-TE2
HRNet
HCE
555
# 13
Dichotomous Image Segmentation
DIS-TE3
HRNet
max F-Measure
0.784
# 9
Dichotomous Image Segmentation
DIS-TE3
HRNet
weighted F-measure
0.700
# 9
Dichotomous Image Segmentation
DIS-TE3
HRNet
MAE
0.080
# 9
Dichotomous Image Segmentation
DIS-TE3
HRNet
S-Measure
0.805
# 8
Dichotomous Image Segmentation
DIS-TE3
HRNet
E-measure
0.869
# 7
Dichotomous Image Segmentation
DIS-TE3
HRNet
HCE
1049
# 12
Dichotomous Image Segmentation
DIS-TE4
HRNet
max F-Measure
0.772
# 9
Dichotomous Image Segmentation
DIS-TE4
HRNet
weighted F-measure
0.687
# 9
Dichotomous Image Segmentation
DIS-TE4
HRNet
MAE
0.092
# 9
Dichotomous Image Segmentation
DIS-TE4
HRNet
S-Measure
0.792
# 9
Dichotomous Image Segmentation
DIS-TE4
HRNet
E-measure
0.854
# 6
Dichotomous Image Segmentation
DIS-TE4
HRNet
HCE
3864
# 19
Dichotomous Image Segmentation
DIS-VD
HRNet
max F-Measure
0.726
# 9
Dichotomous Image Segmentation
DIS-VD
HRNet
weighted F-measure
0.641
# 7
Dichotomous Image Segmentation
DIS-VD
HRNet
MAE
0.095
# 8
Dichotomous Image Segmentation
DIS-VD
HRNet
S-Measure
0.767
# 9
Dichotomous Image Segmentation
DIS-VD
HRNet
E-measure
0.824
# 6
Dichotomous Image Segmentation
DIS-VD
HRNet
HCE
1560
# 13
Thermal Image Segmentation
MFN Dataset
HRNet
mIOU
51.7
# 33
Semantic Segmentation
PASCAL Context
CFNet (ResNet-101)
mIoU
54.0
# 32
Semantic Segmentation
PASCAL Context
HRNetV2 HRNetV2-W48
mIoU
54
# 32
Semantic Segmentation
SynPASS
HRNet
mIoU
34.09%
# 4
Face Alignment
WFLW
HRNet
NME (inter-ocular)
4.60
# 21