CSANet: Contour and Semantic Feature Alignment Fusion Network for Rail Surface Defect Detection
Author:
Affiliation:
1. School of Information & Electronic Engineering, Zhejiang University of Science & Technology, Hangzhou, China
2. Zhejiang University School of Medicine, Hangzhou, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10036333/10195173.pdf?arnumber=10195173
Reference35 articles.
1. FHENet: Lightweight Feature Hierarchical Exploration Network for Real-Time Rail Surface Defect Inspection in RGB-D Images
2. MMSMCNet: Modal Memory Sharing and Morphological Complementary Networks for RGB-T Urban Scene Semantic Segmentation
3. Depth Repeated-Enhancement RGB Network for Rail Surface Defect Inspection
4. LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images
5. Accurate RGB-D Salient Object Detection via Collaborative Learning
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