Fine Grained Image Classification On Bird 225
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| VGG-19bn (Spinal FC) | 99.02 | SpinalNet: Deep Neural Network with Gradual Input | - |
| WideResNet-101 | 99.38 | A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification | - |
| WideResNet-101 (Spinal FC) | 99.56 | A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification | - |
| VGG-19bn | 98.67 | SpinalNet: Deep Neural Network with Gradual Input | - |
| Pre trained wide-resnet-101 | 99.55 | ProgressiveSpinalNet architecture for FC layers | - |
0 of 5 row(s) selected.