Classification on PLGC
96.41AccuracyS3R-CR
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| S3R-CRBackbone=ResNet502022.09 | 96.41 | 0.51 | |
| S3R-BRBackbone=ResNet502022.09 | 95.52 | 0.26 | |
| BYOLBackbone=ResNet50, Number of bands=3 bands2022.09 | 95.07 | 0.69 | |
| SimSiamBackbone=ResNet50, Number of bands=3 bands2022.09 | 95.07 | 0.9 | |
| S3R-CRBackbone=ResNet182022.09 | 95.07 | 0.21 | |
| IN1K pre-trainedBackbone=ResNet502022.09 | 94.62 | 1.7 | |
| BYOLBackbone=ResNet18, Number of bands=3 bands2022.09 | 94.62 | 0.9 | |
| BYOLBackbone=ResNet18, Number of bands=32 bands2022.09 | 94.62 | 0.26 | |
| SimSiamBackbone=ResNet18, Number of bands=3 bands2022.09 | 94.62 | 0.63 | |
| S3R-BRBackbone=ResNet182022.09 | 94.62 | 0.42 | |
| BYOLBackbone=ResNet50, Number of bands=32 bands2022.09 | 94.17 | 0.52 | |
| MHSIMBackbone=ResNet502022.09 | 94.17 | 0.52 | |
| SimSiamBackbone=ResNet18, Number of bands=32 bands2022.09 | 93.72 | 0.69 | |
| IN1K pre-trainedBackbone=ResNet182022.09 | 93.27 | 0.51 | |
| MHSIMBackbone=ResNet182022.09 | 93.27 | 1.44 | |
| SimSiamBackbone=ResNet50, Number of bands=32 bands2022.09 | 92.38 | 0.51 | |
| SSADBackbone=ResNet182022.09 | 92.38 | 2.99 | |
| SSADBackbone=ResNet502022.09 | 91.03 | 0.68 | |
| Conv-DeconvBackbone=ResNet182022.09 | 90.13 | 0.93 | |
| Conv-DeconvBackbone=ResNet502022.09 | 90.13 | 0.45 | |
| ScratchBackbone=ResNet182022.09 | 85.2 | 1.58 | |
| ScratchBackbone=ResNet502022.09 | 84.34 | 2.87 |