Command Palette
Search for a command to run...
Image Classification On Imagenet 100
Metrics
Params
Percentage correct
Results
Performance results of various models on this benchmark
| 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 |
0 of 2 row(s) selected.