MineC2FNet uses attentive distillation from coarse to fine domains in a teacher-student setup to boost mining footprint segmentation performance and releases a new expert-validated dataset of 219 precisely annotated images.
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Coarse-to-Fine Domain Incremental Learning with Attentive Distillation for Mining Footprint Segmentation in Multispectral Imagery
MineC2FNet uses attentive distillation from coarse to fine domains in a teacher-student setup to boost mining footprint segmentation performance and releases a new expert-validated dataset of 219 precisely annotated images.