Table 3.
Quantitative results of segmentation performance for the 2017 dataset when training FCN from scratch by initialising the weights using He et al.'s method and by loading pre-trained ImageNet parameters showing different evaluation metrics.
Initilisation | GA | MA | Spike Accuracy | MIoU | Spike IoU |
---|---|---|---|---|---|
He et al. [55] | 88.18 | 70.30 | 46.61 | 59.4 | 31.76 |
| |||||
ImageNet Parameters | 90.12 | 76.0 | 57.0 | 64.30 | 40.0 |