Bathymetric Depth Estimation on Ashmore Reef cross-regional prediction
2.56RMSE (m)ResNet101
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ResNet101Temporal Aggregation Strategy=Median Aggregation2026.06 | 2.56 | 1.85 | 77 | |
| ResNet101Temporal Aggregation Strategy=Mean Aggregation2026.06 | 2.86 | 2.06 | 71 | |
| ResNet50Temporal Aggregation Strategy=Median Aggregation2026.06 | 2.88 | 2.36 | 71 | |
| Random ForestTemporal Aggregation Strategy=Mean Aggregation2026.06 | 2.93 | 2.67 | 70 | |
| ConvNeXt-LargeTemporal Aggregation Strategy=Median Aggregation2026.06 | 2.98 | 1.56 | 69 | |
| Random ForestTemporal Aggregation Strategy=Median Aggregation2026.06 | 2.99 | 2.77 | 69 | |
| ResNet50Temporal Aggregation Strategy=Mean Aggregation2026.06 | 3.16 | 2.59 | 64 | |
| ConvNeXt-LargeTemporal Aggregation Strategy=Mean Aggregation2026.06 | 3.22 | 1.87 | 63 | |
| EfficientNet-B4Temporal Aggregation Strategy=Median Aggregation2026.06 | 4.49 | 3.02 | 30 | |
| EfficientNet-B4Temporal Aggregation Strategy=Mean Aggregation2026.06 | 4.79 | 3.31 | 18 |