An Improved Faster R-CNN for UAV-Based Catenary Support Device Inspection

Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study

(2019) Xiukun Wei et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network

(2018) Junwen Chen et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A UAV-Based Visual Inspection Method for Rail Surface Defects

(2018) Yunpeng Wu et al.   Applied Sciences-Basel

Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images

(2017) Long Wang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An Efficient and Robust Integrated Geospatial Object Detection Framework for High Spatial Resolution Remote Sensing Imagery

(2017) Xiaobing Han et al.   Remote Sensing