Fine Grained Image Classification On Bird 225
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | 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 |
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