1 citations · 1 across the 3 of their papers we have counts for
4 papers
Enhanced Fracture Diagnosis Based on Critical Regional and Scale Aware in YOLO
Yuyang Sun, Junchuan Yu, Cuiming Zou
Fracture detection plays a critical role in medical imaging analysis, traditional fracture diagnosis relies on visual assessment by experienced physicians, however the speed and ac…
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…
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…
A Multi-Source Data Fusion-based Semantic Segmentation Model for Relic Landslide Detection
Yiming Zhou, Yuexing Peng, Daqing Ge +2
As a natural disaster, landslide often brings tremendous losses to human lives, so it urgently demands reliable detection of landslide risks. When detecting relic landslides that p…