TASK
DATASET
MODEL
METRIC NAME
METRIC VALUE
GLOBAL RANK
EXTRA DATA
REMOVE
Semantic Segmentation
ADE20K
ResNeSt-269
Validation mIoU
47.60
# 54
Semantic Segmentation
ADE20K
ResNeSt-101
Validation mIoU
46.91
# 58
Semantic Segmentation
ADE20K
ResNeSt-200
Validation mIoU
48.36
# 45
Semantic Segmentation
ADE20K val
ResNeSt-101
mIoU
46.91
# 45
Semantic Segmentation
ADE20K val
ResNeSt-200
mIoU
48.36
# 40
Semantic Segmentation
ADE20K val
ResNeSt-269
mIoU
47.60
# 42
Semantic Segmentation
Cityscapes test
ResNeSt200
Mean IoU (class)
83.3
# 9
Semantic Segmentation
Cityscapes val
ResNeSt-200
mIoU
82.7
# 11
Object Detection
COCO minival
ResNeSt-200 (single-scale)
box AP
50.54
# 38
Object Detection
COCO minival
ResNeSt-200 (single-scale)
AP50
68.78
# 17
Object Detection
COCO minival
ResNeSt-200 (single-scale)
AP75
55.17
# 12
Object Detection
COCO minival
ResNeSt-200 (single-scale)
APM
54.2
# 13
Object Detection
COCO minival
ResNeSt-200 (single-scale)
APL
63.9
# 13
Instance Segmentation
COCO minival
ResNeSt-200 (multi-scale)
mask AP
46.25
# 19
Object Detection
COCO minival
ResNeSt-200-DCN (single-scale)
box AP
50.91
# 36
Object Detection
COCO minival
ResNeSt-200-DCN (single-scale)
AP50
69.53
# 14
Object Detection
COCO minival
ResNeSt-200-DCN (single-scale)
AP75
55.40
# 10
Object Detection
COCO minival
ResNeSt-200-DCN (single-scale)
APS
32.67
# 12
Object Detection
COCO minival
ResNeSt-200-DCN (single-scale)
APM
54.66
# 12
Object Detection
COCO minival
ResNeSt-200-DCN (single-scale)
APL
65.83
# 11
Instance Segmentation
COCO minival
ResNeSt-200-DCN (single-scale)
mask AP
44.5
# 27
Panoptic Segmentation
COCO minival
PanopticFPN+ResNeSt(single-scale)
PQ
47.9
# 6
Panoptic Segmentation
COCO minival
PanopticFPN+ResNeSt(single-scale)
PQth
55.1
# 7
Panoptic Segmentation
COCO minival
PanopticFPN+ResNeSt(single-scale)
PQst
37.0
# 6
Object Detection
COCO minival
ResNeSt-200 (multi-scale)
box AP
52.47
# 31
Object Detection
COCO minival
ResNeSt-200 (multi-scale)
AP50
71.00
# 8
Object Detection
COCO minival
ResNeSt-200 (multi-scale)
AP75
57.07
# 7
Object Detection
COCO minival
ResNeSt-200 (multi-scale)
APS
36.80
# 8
Object Detection
COCO minival
ResNeSt-200 (multi-scale)
APM
56.36
# 9
Object Detection
COCO minival
ResNeSt-200 (multi-scale)
APL
66.29
# 10
Instance Segmentation
COCO minival
ResNeSt-200 (single-scale)
mask AP
44.21
# 31
Instance Segmentation
COCO minival
ResNeSt-101 (single-scale)
mask AP
41.56
# 38
Instance Segmentation
COCO test-dev
ResNeSt-200 (multi-scale)
AP50
70.2
# 6
Instance Segmentation
COCO test-dev
ResNeSt-200 (multi-scale)
AP75
51.5
# 6
Instance Segmentation
COCO test-dev
ResNeSt-200 (multi-scale)
APS
30.0
# 5
Instance Segmentation
COCO test-dev
ResNeSt-200 (multi-scale)
APM
49.6
# 5
Instance Segmentation
COCO test-dev
ResNeSt-200 (multi-scale)
APL
60.6
# 6
Object Detection
COCO test-dev
ResNeSt-200 (multi-scale)
box AP
53.3
# 37
Object Detection
COCO test-dev
ResNeSt-200 (multi-scale)
AP50
72.0
# 19
Object Detection
COCO test-dev
ResNeSt-200 (multi-scale)
AP75
58.0
# 25
Object Detection
COCO test-dev
ResNeSt-200 (multi-scale)
APS
35.1
# 22
Object Detection
COCO test-dev
ResNeSt-200 (multi-scale)
APM
56.2
# 24
Object Detection
COCO test-dev
ResNeSt-200 (multi-scale)
APL
66.8
# 17
Object Detection
COCO test-dev
ResNeSt-200 (multi-scale)
Hardware Burden
None
# 1
Object Detection
COCO test-dev
ResNeSt-200 (multi-scale)
Operations per network pass
None
# 1
Instance Segmentation
COCO test-dev
ResNeSt101
mask AP
43%
# 20
Semantic Segmentation
DADA-seg
ResNeSt (ResNeSt-101)
mIoU
19.99
# 21
Image Classification
ImageNet
ResNeSt-200
Top 1 Accuracy
83.9%
# 181
Image Classification
ImageNet
ResNeSt-101
Top 1 Accuracy
83.0%
# 234
Image Classification
ImageNet
ResNeSt-269
Top 1 Accuracy
84.5%
# 151
Image Classification
ImageNet
ResNeSt-269
Hardware Burden
None
# 1
Image Classification
ImageNet
ResNeSt-269
Operations per network pass
None
# 1
Semantic Segmentation
PASCAL Context
ResNeSt-200
mIoU
58.4
# 11
Semantic Segmentation
PASCAL Context
ResNeSt-269
mIoU
58.9
# 10
Semantic Segmentation
PASCAL Context
ResNeSt-101
mIoU
56.5
# 14