1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection
Juefei He, Yuexing Peng, Wei Li +3
Relic landslide, formed over a long period, possess the potential for reactivation, making them a hazardous geological phenomenon. While reliable relic landslide detection benefits…
cs.CV2024★ 1 cited
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model
Changhong Hou, Junchuan Yu, Daqing Ge +4
Landslides are one of the most destructive natural disasters in the world, posing a serious threat to human life and safety. The development of foundation models has provided a new…