Deep ensemble transfer learning-based approach for classifying hot-rolled steel strips surface defects

A critical review and comparative study on image segmentation-based techniques for pavement crack detection

(2022) Narges Kheradmandi et al.   CONSTRUCTION AND BUILDING MATERIALS

Strip Steel Surface Defects Classification Based on Generative Adversarial Network and Attention Mechanism

(2022) Zhuangzhuang Hao et al.   Metals

COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization

(2022) Muhammet Fatih Aslan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Hybrid Architecture Based on CNN and Transformer for Strip Steel Surface Defect Classification

(2022) Shunfeng Li et al.   Electronics

Surface Defects Classification of Hot Rolled Strip Based on Improved Convolutional Neural Network

(2021) Wenyan Wang et al.   ISIJ INTERNATIONAL

An Improved VGG19 Transfer Learning Strip Steel Surface Defect Recognition Deep Neural Network Based on Few Samples and Imbalanced Datasets

(2021) Xiang Wan et al.   Applied Sciences-Basel

Design of Multi-Receptive Field Fusion-Based Network for Surface Defect Inspection on Hot-Rolled Steel Strip Using Lightweight Dataset

(2021) Wei-Peng Tang et al.   Applied Sciences-Basel

Vehicle Detection From UAV Imagery With Deep Learning: A Review

(2021) Abdelmalek Bouguettaya et al.   IEEE Transactions on Neural Networks and Learning Systems

Synthetic data augmentation for surface defect detection and classification using deep learning

(2020) Saksham Jain et al.   JOURNAL OF INTELLIGENT MANUFACTURING

An End-to-End Steel Strip Surface Defects Recognition System Based on Convolutional Neural Networks

(2016) Li Yi et al.   STEEL RESEARCH INTERNATIONAL

A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects

(2013) Kechen Song et al.   APPLIED SURFACE SCIENCE