Classification on NCT-CRC-HE-100K

Metric: Precision (higher is better)

LeaderboardDataset

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#	Model↕	Precision▼	Augmentations	Paper	Date↕	Code
1	ResNet-50	100	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
2	RegNetY-3.2GF	99.97	No	RegNet: Self-Regulated Network for Image Classif...	2021-01-03	Code
3	Res2Net-50	99.93	No	Res2Net: A New Multi-scale Backbone Architecture	2019-04-02	Code
4	ResNeXt-50-32x4d	99.91	No	ResNet strikes back: An improved training proced...	2021-10-01	Code
5	ResNet-18	99.9	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
6	Efficientnet-b0	99.89	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
7	DenseNet-169	99.87	No	Densely Connected Convolutional Networks	2016-08-25	Code

#1ResNet-50SOTA
100
Precision· 2015-12-10
Deep Residual Learning for Image Recognition Code
#2RegNetY-3.2GF
99.97
Precision· 2021-01-03
RegNet: Self-Regulated Network for Image Classification Code
#3Res2Net-50
99.93
Precision· 2019-04-02
Res2Net: A New Multi-scale Backbone Architecture Code
#4ResNeXt-50-32x4d
99.91
Precision· 2021-10-01
ResNet strikes back: An improved training procedure in timm Code
#5ResNet-18
99.9
Precision· 2015-12-10
Deep Residual Learning for Image Recognition Code
#6Efficientnet-b0
99.89
Precision· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#7DenseNet-169
99.87
Precision· 2016-08-25
Densely Connected Convolutional Networks Code