Image Classification on Caltech-256

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	Inceptionv4	85.94	Yes	Non-binary deep transfer learning for image clas...	2021-07-19	Code
2	swin-transformer	77	No	-	-	-
3	Inceptionv4 (random initialization)	67.2	No	Non-binary deep transfer learning for image clas...	2021-07-19	Code
4	WaveMixLite-256/7	54.62	No	WaveMix: A Resource-efficient Neural Network for...	2022-05-28	Code

#1Inceptionv4SOTA
85.94
Accuracy· Extra Data· 2021-07-19
Non-binary deep transfer learning for image classification Code
#2swin-transformer
77
Accuracy
No paper
#3Inceptionv4 (random initialization)
67.2
Accuracy· 2021-07-19
Non-binary deep transfer learning for image classification Code
#4WaveMixLite-256/7
54.62
Accuracy· 2022-05-28
WaveMix: A Resource-efficient Neural Network for Image Analysis Code