Tire Defect Detection Based on Improved DeepLabv3+
Author:
Affiliation:
1. College of Mechatronics Engineering and Automation, Shanghai University,Department of Automation,Shanghai,P. R. China,200444
Funder
National Key Research and Development Program
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10241065.pdf?arnumber=10241065
Reference15 articles.
1. An End-to-End Atrous Spatial Pyramid Pooling and Skip-Connections Generative Adversarial Segmentation Network for Building Extraction from High-Resolution Aerial Images
2. Diversifying Tire-Defect Image Generation Based on Generative Adversarial Network
3. Application of the Dice Coefficient to Accuracy Assessment of Object-Based Image Classification
4. Classification and Predictions of Lung Diseases from Chest X-rays Using MobileNet V2
5. A review of semantic segmentation using deep neural networks
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