TASK |
DATASET |
MODEL |
METRIC NAME |
METRIC VALUE |
GLOBAL RANK |
REMOVE |
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-50 x2)
|
Top 1 Accuracy
|
75.6%
|
# 66
|
|
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-50 x2)
|
Top 5 Accuracy
|
92.7%
|
# 10
|
|
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-50 x2)
|
Number of Params
|
94M
|
# 29
|
|
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-152 x3, SK)
|
Top 1 Accuracy
|
79.8%
|
# 29
|
|
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-152 x3, SK)
|
Top 5 Accuracy
|
94.9%
|
# 2
|
|
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-152 x3, SK)
|
Number of Params
|
795M
|
# 5
|
|
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-50)
|
Top 1 Accuracy
|
71.7%
|
# 92
|
|
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-50)
|
Top 5 Accuracy
|
90.4%
|
# 22
|
|
Self-Supervised Image Classification
|
ImageNet
|
SimCLRv2 (ResNet-50)
|
Number of Params
|
24M
|
# 48
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 (ResNet-152 x3, SK)
|
Top 5 Accuracy
|
95.0%
|
# 3
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 (ResNet-152 x3, SK)
|
Top 1 Accuracy
|
80.1%
|
# 7
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 distilled (ResNet-50 x2, SK)
|
Top 5 Accuracy
|
95.0%
|
# 3
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 distilled (ResNet-50 x2, SK)
|
Top 1 Accuracy
|
80.2%
|
# 6
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 (ResNet-50 x2)
|
Top 5 Accuracy
|
91.9%
|
# 9
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 (ResNet-50 x2)
|
Top 1 Accuracy
|
73.9%
|
# 26
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 (ResNet-50)
|
Top 5 Accuracy
|
89.2%
|
# 27
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 (ResNet-50)
|
Top 1 Accuracy
|
68.4%
|
# 36
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 distilled (ResNet-50)
|
Top 5 Accuracy
|
93.4%
|
# 5
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 distilled (ResNet-50)
|
Top 1 Accuracy
|
77.5%
|
# 13
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 self-distilled (ResNet-152 x3, SK)
|
Top 5 Accuracy
|
95.5%
|
# 2
|
|
Semi-Supervised Image Classification
|
ImageNet - 10% labeled data
|
SimCLRv2 self-distilled (ResNet-152 x3, SK)
|
Top 1 Accuracy
|
80.9%
|
# 5
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 distilled (ResNet-50)
|
Top 5 Accuracy
|
91.5%
|
# 5
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 distilled (ResNet-50)
|
Top 1 Accuracy
|
73.9%
|
# 9
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 distilled (ResNet-50 x2, SK)
|
Top 5 Accuracy
|
93.0%
|
# 3
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 distilled (ResNet-50 x2, SK)
|
Top 1 Accuracy
|
75.9%
|
# 6
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 self-distilled (ResNet-152 x3, SK)
|
Top 5 Accuracy
|
93.4%
|
# 1
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 self-distilled (ResNet-152 x3, SK)
|
Top 1 Accuracy
|
76.6%
|
# 5
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 (ResNet-50)
|
Top 5 Accuracy
|
82.5%
|
# 19
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 (ResNet-50)
|
Top 1 Accuracy
|
57.9%
|
# 35
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 (ResNet-152 x3, SK)
|
Top 5 Accuracy
|
92.3%
|
# 4
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 (ResNet-152 x3, SK)
|
Top 1 Accuracy
|
74.9%
|
# 8
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 (ResNet-50 ×2)
|
Top 5 Accuracy
|
87.4%
|
# 10
|
|
Semi-Supervised Image Classification
|
ImageNet - 1% labeled data
|
SimCLRv2 (ResNet-50 ×2)
|
Top 1 Accuracy
|
66.3%
|
# 23
|
|
Self-Supervised Image Classification
|
ImageNet (finetuned)
|
SimCLRv2 (ResNet-152, 3×+SK)
|
Number of Params
|
795M
|
# 4
|
|
Self-Supervised Image Classification
|
ImageNet (finetuned)
|
SimCLRv2 (ResNet-152, 3×+SK)
|
Top 1 Accuracy
|
83.1%
|
# 46
|
|