Image Classification On Imagenet 100
Metriken
Params
Percentage correct
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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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