Attention-Guided Multitask Learning for Surface Defect Identification
Author:
Affiliation:
1. Autonomous and Intelligent Systems Unit, Tekniker, Gipuzkoa, Spain
2. Department of Design and Manufacturing Engineering, University of Zaragoza, Zaragoza, Spain
Funder
DIGIMAN4.0 Project
Horizon 2020
ELKARTEK Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10192510/10006358.pdf?arnumber=10006358
Reference30 articles.
1. Two Deep Learning Networks for Rail Surface Defect Inspection of Limited Samples With Line-Level Label
2. Attention Network for Rail Surface Defect Detection via Consistency of Intersection-over-Union(IoU)-Guided Center-Point Estimation
3. Severstal: Steel defect detection. Can you detect and classify defects in steel?,2019
4. A New Cycle-consistent Adversarial Networks With Attention Mechanism for Surface Defect Classification With Small Samples
5. Cascade R-CNN: Delving Into High Quality Object Detection
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