Research Article
Deep Transfer Learning for Biology Cross-Domain Image Classification
Table 13
Results of cross-domain transfer learning on PlanktonSet 1.0.
| | | Transfer process | | | Model | Accuracy (%) | |
| | | Flowers17 | | PlanktonSet 1.0 | GoogLeNet-v3 | 77. | 0.6589 | | | Flowers102 | | PlanktonSet 1.0 | GoogLeNet-v3 | 76.89 | 0.6593 | | | Plant Seedlings | | PlanktonSet 1.0 | GoogLeNet-v3 | 77.24 | 0.6580 | | | QUT Fish | | PlanktonSet 1.0 | GoogLeNet-v3 | 74.28 | 0.6059 | ImageNet | | Flowers17 | | PlanktonSet 1.0 | GoogLeNet-v3 | 74.59 | 0.6091 | ImageNet | | Flowers102 | | PlanktonSet 1.0 | GoogLeNet-v3 | 76.82 | 0.6642 | ImageNet | | Plant Seedlings | | PlanktonSet 1.0 | GoogLeNet-v3 | 76.71 | 0.6549 | ImageNet | | QUT Fish | | PlanktonSet 1.0 | GoogLeNet-v3 | 76.71 | 0.6549 | | | Flowers17 | | PlanktonSet 1.0 | ResNet-18 | 76.47 | 0.6489 | | | Flowers102 | | PlanktonSet 1.0 | ResNet-18 | 76.39 | 0.6470 | | | Plant Seedlings | | PlanktonSet 1.0 | ResNet-18 | 76.35 | 0.6482 | | | QUT Fish | | PlanktonSet 1.0 | ResNet-18 | 75.83 | 0.6450 | ImageNet | | Flowers17 | | PlanktonSet 1.0 | ResNet-18 | 76.38 | 0.6505 | ImageNet | | Flowers102 | | PlanktonSet 1.0 | ResNet-18 | 76.53 | 0.6520 | ImageNet | | Plant Seedlings | | PlanktonSet 1.0 | ResNet-18 | 76.39 | 0.6476 | ImageNet | | QUT Fish | | PlanktonSet 1.0 | ResNet-18 | 76.32 | 0.6482 | | | Flowers17 | | PlanktonSet 1.0 | ResNet-34 | 76.30 | 0.6538 | | | Flowers102 | | PlanktonSet 1.0 | ResNet-34 | 76.61 | 0.6535 | | | Plant Seedlings | | PlanktonSet 1.0 | ResNet-34 | 76.96 | 0.6614 | | | QUT Fish | | PlanktonSet 1.0 | ResNet-34 | 75.87 | 0.6381 | ImageNet | | Flowers17 | | PlanktonSet 1.0 | ResNet-34 | 76.29 | 0.6475 | ImageNet | | Flowers102 | | PlanktonSet 1.0 | ResNet-34 | 76.60 | 0.6505 | ImageNet | | Plant Seedlings | | PlanktonSet 1.0 | ResNet-34 | 76.56 | 0.6571 | ImageNet | | QUT Fish | | PlanktonSet 1.0 | ResNet-34 | 76.53 | 0.6547 | | | Flowers17 | | PlanktonSet 1.0 | ResNet-50 | 77.20 | 0.6630 | | | Flowers102 | | PlanktonSet 1.0 | ResNet-50 | 77.18 | 0.6581 | | | Plant Seedlings | | PlanktonSet 1.0 | ResNet-50 | 77.21 | 0.6602 | | | QUT Fish | | PlanktonSet 1.0 | ResNet-50 | 76.74 | 0.6628 | ImageNet | | Flowers17 | | PlanktonSet 1.0 | ResNet-50 | 77.15 | 0.6679 | ImageNet | | Flowers102 | | PlanktonSet 1.0 | ResNet-50 | 77. | 0. | ImageNet | | Plant Seedlings | | PlanktonSet 1.0 | ResNet-50 | 77.45 | 0.6714 | ImageNet | | QUT Fish | | PlanktonSet 1.0 | ResNet-50 | 77.17 | 0.6676 |
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indicates the results outperform the corresponding results of training from scratch and fine-tuning on ImageNet. |