A CNN segmentation model trained with knowledge distilled from a frozen DINOv2 encoder plus a transformer modulation module improves fine-grained grass and cloud segmentation in remote sensing images, with a new grassland dataset introduced.
U-net: Con- volutional networks for biomedical image segmentation,
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Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation
A CNN segmentation model trained with knowledge distilled from a frozen DINOv2 encoder plus a transformer modulation module improves fine-grained grass and cloud segmentation in remote sensing images, with a new grassland dataset introduced.