Accuracy\Model | Category 1 Accuracy | Category 2 Accuracy | Category 3 Accuracy | Category 4 Accuracy | Average accuracy |
MAML | 82.16% | 72.45% | 81.3% | 85.97% | 80.47% |
MAML-New | 86.42% | 79.70% | 87.17% | 89.19% | 85.62% |
ResNet 18-layers | 81.7% | 62.1% | 82.4% | 90.1% | 73.45% |
LSTM | 81.1% | 68.0% | 80.8% | 80.3% | 77.55% |
Parameter | Value | Meaning |
---|---|---|
epoch | 600 | Training epochs |
k | 4 | Number of sample categories |
k_spt | 20 | Number of support set samples |
k_qry | 30 | Number of query set samples |
imgsz | 180 | Dimension of input data |
imgc | 1 | Number of channels for input data |
task_num (batch_size) | 16 | Training batch of samples |
meta_lr | 1e-3 | First gradient update learning rate |
update_lr | 0.01 | Second gradient update learning rate |