Image Classification On Cub 200 2011 3
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Sparse-CBM | 80.02 | Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning | |
| EnGraf-Net152 (G=4, H=1) | 88.31 | EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task |
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