Research Article
Deep Transfer Learning for Biology Cross-Domain Image Classification
Table 10
results of fine-tuning on ImageNet.
| Model | Flowers17 | Flowers102 | Plant Seedlings | PlanktonSet 1.0 | QUT Fish |
| AlexNet | 0.912 6 | 0.764 2 | 0.964 8 | 0.628 3 | 0.311 7 | VGG-16 | 0.967 5 | 0.800 4 | 0.980 1 | 0.645 1 | 0.397 2 | GoogLeNet-v3 | 0.970 4 | 0.927 1 | 0.979 8 | 0.655 3 | 0.489 6 | ResNet-18 | 0.970 7 | 0.878 1 | 0.978 0 | 0.650 5 | 0.409 7 | ResNet-34 | 0.964 4 | 0.877 1 | 0.979 9 | 0.652 3 | 0.427 2 | ResNet-50 | 0.976 3 | 0.899 6 | 0.983 7 | 0.667 0 | 0.424 6 | ResNet-101 | 0.970 4 | 0.898 4 | 0.983 0 | 0.669 3 | 0.425 0 | ResNet-152 | 0.979 3 | 0.900 1 | 0.983 2 | 0.666 4 | 0.430 6 |
|
|
The entries in boldface indicate the best classification results with the highest . |