Image Classification On Imagenet 100
評価指標
Params
Percentage correct
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Params | Percentage correct | Paper Title | Repository |
|---|---|---|---|---|
| SparseSwin with L2 | 17.58M | 86.96 | SparseSwin: Swin Transformer with Sparse Transformer Block | |
| DLME (ResNet-50, linear) | - | 79.3 | DLME: Deep Local-flatness Manifold Embedding |
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