Table 1:
Hyper-parameter settings and runtime information for the various LN detection models.
Setting | Faster RCNN | VFNet | DDOD | DyHead |
---|---|---|---|---|
Backbone | ResNet-50 | ResNet-50 | ResNet-50 | Swin |
Batch size | 8 | 4 | 8 | 2 |
Epochs | 12 | 12 | 12 | 12 |
Learning rate | 1e−3 | 1e−3 | 1e−4 | 5e−5 |
Activation function | ReLU | ReLU | ReLU | ReLU |
Optimizer | SGD | SGD | SGD | AdamW |
# parameters (million) | 41.7 M | 75.2 M | 86.1 M | 158.7 M |
GFLOPs | 19.3 | 106.1 | 134.8 | 327.6 |
Inference Time (sec/vol) | 3.1 | 4.7 | 5.3 | 6.2 |