Research Article
Deep Transfer Learning for Biology Cross-Domain Image Classification
Table 8
Transfer learning results gains (average on GoogLeNet-v3, ResNet-18, ResNet-34 and ResNet-50) compared with the results of training from scratch.
| | | Transfer process | | | Gain of accuracy (%) | Gain of |
| | | ImageNet | | Flowers17 | 9.42 | 0.0911 | | | Flowers102 | | Flowers17 | 0.66 | 0.0070 | | | Plant Seedlings | | Flowers17 | 1.69 | 0.0150 | | | Plankton | | Flowers17 | 4.34 | 0.0423 | | | QUT Fish | | Flowers17 | 0.66 | 0.0053 | ImageNet | | Flowers102 | | Flowers17 | 9.41 | 0. | ImageNet | | Plant Seedlings | | Flowers17 | 7.35 | 0.0727 | ImageNet | | Plankton | | Flowers17 | 6.54 | 0.0647 | ImageNet | | QUT Fish | | Flowers17 | 7.28 | 0.0720 | | | ImageNet | | Flowers102 | 34.83 | 0.3642 | | | Flowers17 | | Flowers102 | 8.44 | 0.0871 | | | Plant Seedlings | | Flowers102 | 3.57 | 0.0367 | | | Plankton | | Flowers102 | 14.84 | 0.1489 | | | QUT Fish | | Flowers102 | 6.31 | 0.0591 | ImageNet | | Flowers17 | | Flowers102 | 33.97 | 0.3541 | ImageNet | | Plant Seedlings | | Flowers102 | 27.62 | 0.2870 | ImageNet | | Plankton | | Flowers102 | 21.84 | 0.2230 | ImageNet | | QUT Fish | | Flowers102 | 27.67 | 0.2851 | | | ImageNet | | Plant Seedlings | 0.53 | 0.0053 | | | Flowers17 | | Plant Seedlings | 0.21 | 0.0017 | | | Flowers102 | | Plant Seedlings | −0.01 | −0.0007 | | | Plankton | | Plant Seedlings | −0.35 | −0.0044 | | | QUT Fish | | Plant Seedlings | −0.40 | −0.0051 | ImageNet | | Flowers17 | | Plant Seedlings | 0.42 | 0.0043 | ImageNet | | Flowers102 | | Plant Seedlings | 0.51 | 0. | ImageNet | | Plankton | | Plant Seedlings | −0.32 | −0.0041 | ImageNet | | QUT Fish | | Plant Seedlings | 0.39 | 0.0041 | | | ImageNet | | Plankton | −0.17 | −0.0005 | | | Flowers17 | | Plankton | −0.06 | −0.0006 | | | Flowers102 | | Plankton | −0.09 | −0.0023 | | | Plant Seedlings | | Plankton | 0. | 0. | | | QUT Fish | | Plankton | −1.18 | −0.0189 | ImageNet | | Flowers17 | | Plankton | −0.76 | −0.131 | ImageNet | | Flowers102 | | Plankton | −0.02 | 0. | ImageNet | | Plant Seedlings | | Plankton | −0.08 | 0. | ImageNet | | QUT Fish | | Plankton | −0.18 | −0.0005 | | | ImageNet | | QUT Fish | 20.03 | 0.1759 | | | Flowers17 | | QUT Fish | 5.38 | 0.0453 | | | Flowers102 | | QUT Fish | 1.82 | 0.0139 | | | Plant Seedlings | | QUT Fish | 4.30 | 0.0333 | | | Plankton | | QUT Fish | 11.92 | 0.1058 | ImageNet | | Flowers17 | | QUT Fish | 19.95 | 0.1725 | ImageNet | | Flowers102 | | QUT Fish | 19.72 | 0.1735 | ImageNet | | Plant Seedlings | | QUT Fish | 16.71 | 0.1465 | ImageNet | | Plankton | | QUT Fish | 15.20 | 0.1395 |
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indicates the results outperform the corresponding results of training from scratch and fine-tuning on ImageNet. |