123 citations · 125 across the 6 of their papers we have counts for
6 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…
An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images
Zili Lu, Yuexing Peng, Wei Li +3
Huge challenges exist for old landslide detection because their morphology features have been partially or strongly transformed over a long time and have little difference from the…
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images
Ying Wang, Yuexing Peng, Xinran Liu +5
Extracting roads from high-resolution remote sensing images (HRSIs) is vital in a wide variety of applications, such as autonomous driving, path planning, and road navigation. Due…