Image Classification on GasHisSDB

Metric: Precision (higher is better)

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#	Model↕	Precision▼	Extra Data	Paper	Date↕	Code
1	CoAtNet-1	99.97	No	CoAtNet: Marrying Convolution and Attention for ...	2021-06-09	Code
2	RegNetY-3.2GF	99.97	No	RegNet: Self-Regulated Network for Image Classif...	2021-01-03	Code
3	ResNeXt-50-32x4d	99.94	No	Aggregated Residual Transformations for Deep Neu...	2016-11-16	Code
4	ResNet-50	99.94	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
5	ResNet-18	99.94	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
6	EfficientNet-b0	99.94	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
7	Res2Net-50	99.91	No	Res2Net: A New Multi-scale Backbone Architecture	2019-04-02	Code
8	DenseNet-169	99.91	No	Densely Connected Convolutional Networks	2016-08-25	Code

#1CoAtNet-1
99.97
Precision· 2021-06-09
CoAtNet: Marrying Convolution and Attention for All Data Sizes Code
#2RegNetY-3.2GFSOTA
99.97
Precision· 2021-01-03
RegNet: Self-Regulated Network for Image Classification Code
#3ResNeXt-50-32x4d
99.94
Precision· 2016-11-16
Aggregated Residual Transformations for Deep Neural Networks Code
#4ResNet-50SOTA
99.94
Precision· 2015-12-10
Deep Residual Learning for Image Recognition Code
#5ResNet-18
99.94
Precision· 2015-12-10
Deep Residual Learning for Image Recognition Code
#6EfficientNet-b0
99.94
Precision· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#7Res2Net-50
99.91
Precision· 2019-04-02
Res2Net: A New Multi-scale Backbone Architecture Code
#8DenseNet-169
99.91
Precision· 2016-08-25
Densely Connected Convolutional Networks Code