Applying LOCA's relative position prediction to multimodal satellite imagery achieves higher flood-segmentation IoU than MAE-style baselines on Sen1Floods11, but the improvement is largely confounded by test-set hyperparameter selection and an extra input modality.
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Position Prediction Self-Supervised Learning for Multimodal Satellite Imagery Semantic Segmentation
Applying LOCA's relative position prediction to multimodal satellite imagery achieves higher flood-segmentation IoU than MAE-style baselines on Sen1Floods11, but the improvement is largely confounded by test-set hyperparameter selection and an extra input modality.