CLCNet: Rethinking of Ensemble Modeling with Classification Confidence Network

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Benchmark Model Rank Results
image-classification-on-imagenetCLCNet (S:ViT+D:EffNet-B7) (retrain)#128Top 1 Accuracy: 86.61%GFLOPs: 51.93
image-classification-on-imagenetCLCNet (S:ViT+D:VOLO-D3) (retrain)#138Top 1 Accuracy: 86.46%GFLOPs: 57.46
image-classification-on-imagenetCLCNet (S:ConvNeXt-L+D:EffNet-B7) (retrain)#139Top 1 Accuracy: 86.42%GFLOPs: 45.43
image-classification-on-imagenetCLCNet (S:D1+D:D5)#238Top 1 Accuracy: 85.28%GFLOPs: 47.43
image-classification-on-imagenetCLCNet (S:B4+D:B7)#372Top 1 Accuracy: 83.88%GFLOPs: 18.58

Rank counts only results with a code link.