CAM-guided Multi-Path Decoding U-Net with Triplet Feature Regularization for Defect Detection and Segmentation-Reference-Cited by-同舟云学术

CAM-guided Multi-Path Decoding U-Net with Triplet Feature Regularization for Defect Detection and Segmentation

Published:2021-09 Issue: Volume:228 Page:107272
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Lin Dongyun^ORCID,Li Yiqun^ORCID,Prasad Shitala,Nwe Tin Lay^ORCID,Dong Sheng,Oo Zaw Min

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference44 articles.

1. Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST);Kumar;Knowl.-Based Syst.,2020

2. A review of novelty detection;Pimentel;Signal Process.,2014

3. Intelligent detection of building cracks based on deep learning;Zheng;Image Vis. Comput.,2020

4. Anomaly detection: A survey;Chandola;ACM Comput. Surv.,2009

5. K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 770–778.

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel combined method for conveyor belt deviation discrimination under complex operational scenarios;Engineering Applications of Artificial Intelligence;2024-11

2. Bilateral guidance network for one-shot metal defect segmentation;Engineering Applications of Artificial Intelligence;2024-05

3. Unsupervised anomaly detection and localization with one model for all category;Knowledge-Based Systems;2024-04

4. Integrating Crack Causal Augmentation Framework and Dynamic Binary Threshold for imbalanced crack instance segmentation;Expert Systems with Applications;2024-04

5. CNN-based pavement defects detection using grey and depth images;Automation in Construction;2024-02