Bathymetric Depth Estimation on Cartier Reef cross-regional prediction
2.46RMSE (m)ConvNeXt-Large
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ConvNeXt-LargeTemporal Aggregation Strategy=Median Aggregation2026.06 | 2.46 | 1.87 | 85 | |
| ResNet50Temporal Aggregation Strategy=Median Aggregation2026.06 | 2.59 | 2.13 | 83 | |
| ResNet101Temporal Aggregation Strategy=Median Aggregation2026.06 | 2.85 | 2.29 | 79 | |
| ConvNeXt-LargeTemporal Aggregation Strategy=Mean Aggregation2026.06 | 2.87 | 2.17 | 79 | |
| ResNet101Temporal Aggregation Strategy=Mean Aggregation2026.06 | 3 | 2.36 | 77 | |
| ResNet50Temporal Aggregation Strategy=Mean Aggregation2026.06 | 3.01 | 2.39 | 77 | |
| Random ForestTemporal Aggregation Strategy=Mean Aggregation2026.06 | 3.6 | 3.47 | 68 | |
| EfficientNet-B4Temporal Aggregation Strategy=Median Aggregation2026.06 | 3.78 | 2.81 | 64 | |
| Random ForestTemporal Aggregation Strategy=Median Aggregation2026.06 | 3.78 | 3.44 | 65 | |
| EfficientNet-B4Temporal Aggregation Strategy=Mean Aggregation2026.06 | 4.53 | 3.34 | 47 |