Image Classification On Places365 Standard
Metrics
Top 1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | Top 1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| SWAG (ViT H/14) | 60.7 | Revisiting Weakly Supervised Pre-Training of Visual Perception Models | |
| Hiera-H (448px) | 60.6 | Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles | |
| MAE (ViT-H, 448) | 60.3 | Masked Autoencoders Are Scalable Vision Learners | |
| WaveMix-240/12 (level 4) | 56.45 | WaveMix: A Resource-efficient Neural Network for Image Analysis |
0 of 4 row(s) selected.