163 citations · 379 across the 9 of their papers we have counts for
14 papers
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Zhun Fan, Chong Li, Ying Chen +4
Inspired by the development of deep learning in computer vision and object detection, the proposed algorithm considers an encoder-decoder architecture with hierarchical feature lea…
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
Zhun Fan, Chong Li, Ying Chen +4
Automated pavement crack detection and measurement are important road issues. Agencies have to guarantee the improvement of road safety. Conventional crack detection and measuremen…
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Zhun Fan, Jiahong Wei, Guijie Zhu +2
The accurate retinal vessel segmentation (RVS) is of great significance to assist doctors in the diagnosis of ophthalmology diseases and other systemic diseases. Manually designing…
Automated Steel Bar Counting and Center Localization with Convolutional Neural Networks
Zhun Fan, Jiewei Lu, Benzhang Qiu +4
Automated steel bar counting and center localization plays an important role in the factory automation of steel bars. Traditional methods only focus on steel bar counting and their…
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems
Zhun Fan, Zhaojun Wang, Wenji Li +6
In dealing with constrained multi-objective optimization problems (CMOPs), a key issue of multi-objective evolutionary algorithms (MOEAs) is to balance the convergence and diversit…
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
Zhun Fan, Jiajie Mo, Benzhang Qiu +6
Retinal vessel segmentation is a crucial step in diagnosing and screening various diseases, including diabetes, ophthalmologic diseases, and cardiovascular diseases. In this paper,…