MRIFE, a dual-branch segmentation network with masked feature modeling and semantic feature contrast enhancement, improves relic landslide IoU from 0.338 to 0.393 on a private dataset.
Reactivation mechanism of old landslide triggered by coupling of fault creep and water infiltration: a case study from the east tibetan plateau,
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MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection
MRIFE, a dual-branch segmentation network with masked feature modeling and semantic feature contrast enhancement, improves relic landslide IoU from 0.338 to 0.393 on a private dataset.