ArticleFrontiers in bioengineering and biotechnology2021
Intelligent Detection of Steel Defects Based on Improved Split Attention Networks.
Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Optimizing surface defect detection with YOLOv9: the role of advanced backbone models.Frontiers in artificial intelligence · 2025Article
- Swin-Transformer -YOLOv5 for lightweight hot-rolled steel strips surface defect detection algorithm.PloS one · 2024Article
- Quality-Related Process Monitoring and Diagnosis of Hot-Rolled Strip Based on Weighted Statistical Feature KPLS.Sensors (Basel, Switzerland) · 2023Article
- Photoelastic Stress Field Recovery Using Deep Convolutional Neural Network.Frontiers in bioengineering and biotechnology · 2022Article
- Time Optimal Trajectory Planing Based on Improved Sparrow Search Algorithm.Frontiers in bioengineering and biotechnology · 2022Article
- Pursuit and Evasion Strategy of a Differential Game Based on Deep Reinforcement Learning.Frontiers in bioengineering and biotechnology · 2022Article
- Automatic Measurement of Endometrial Thickness From Transvaginal Ultrasound Images.Frontiers in bioengineering and biotechnology · 2022Article
- Recognition and Detection of Wide Field Bionic Compound Eye Target Based on Cloud Service Network.Frontiers in bioengineering and biotechnology · 2022Article
- Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization.Frontiers in bioengineering and biotechnology · 2022Article
- Spider-Inspired HCCapture: Beware That What You Are Writing on Mobile Devices Is Becoming Prey for Spiders.Frontiers in bioengineering and biotechnology · 2022Article
- A Tandem Robotic Arm Inverse Kinematic Solution Based on an Improved Particle Swarm Algorithm.Frontiers in bioengineering and biotechnology · 2022Article
- Improved Multi-Stream Convolutional Block Attention Module for sEMG-Based Gesture Recognition.Frontiers in bioengineering and biotechnology · 2022Article
- Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.Frontiers in bioengineering and biotechnology · 2022Article
- Path Planning Optimization of Intelligent Vehicle Based on Improved Genetic and Ant Colony Hybrid Algorithm.Frontiers in bioengineering and biotechnology · 2022Article
- FRCNet: Feature Refining and Context-Guided Network for Efficient Polyp Segmentation.Frontiers in bioengineering and biotechnology · 2022Article
- Surface Defect Segmentation Algorithm of Steel Plate Based on Geometric Median Filter Pruning.Frontiers in bioengineering and biotechnology · 2022Article
- Vanishing Point Detection Method Based on Constrained Classification for Checkpoints on Urban Roads.Frontiers in bioengineering and biotechnology · 2022Article
- Flaw Detection in White Porcelain Wine Bottles Based on Improved YOLOv4 Algorithm.Frontiers in bioengineering and biotechnology · 2022Article
- Real-Time Target Detection Method Based on Lightweight Convolutional Neural Network.Frontiers in bioengineering and biotechnology · 2022Article
- A siamese network-based approach for vehicle pose estimation.Frontiers in bioengineering and biotechnology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The intelligent monitoring and diagnosis of steel defects plays an important role in improving steel quality, production efficiency, and associated smart manufacturing. The application of the bio-inspired algorithms to mechanical engineering problems is of great significance. The split attention network is an improvement of the residual network, and it is an improvement of the visual attention mechanism in the bionic algorithm. In this paper, based on the feature pyramid network and split attention network, the network is improved and optimised in terms of data enhancement, multi-scale feature fusion and network structure optimisation. The DF-ResNeSt50 network model is proposed, which introduces a simple modularized split attention block, which can improve the attention mechanism of cross-feature graph groups. Finally, experimental validation proves that the proposed network model has good performance and application prospects in the intelligent detection of steel defects.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.