Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Infrastructure Maintenance and Monitoring — 37 papers
• Computer Vision and Pattern Recognition — 7 papers
• Textile materials and evaluations — 3 papers
• Smart Agriculture and AI — 1 papers
• Industrial Vision Systems and Defect Detection — 1 papers
• Disordered Systems and Neural Networks — 1 papers
• Wood and Agarwood Research — 1 papers

Highest-Cited Papers

1. Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture
2. HSV Color Space Conversion and Deep Learning Model Performance Analysis for Efflorescence Segmentation in Damage Detection
3. A Data-Efficient Deep Learning Paradigm for Crack Segmentation Using Generative AI
4. VCDH-YOLO: Viewpoint-Conditioned Dual-Head Detection for Mixed-View Crack Inspection Across Drone and Ground Platforms
5. An explainable visual structural health monitoring framework for corrosion diagnosis of steel components using high-resolution UAV images
6. Evaluation of AI-based Visual Crack Detection in Steel Bridges Using Probability of Detection
7. A Lightweight CNN Framework for UAV-Based Missing-Bolt Patch Classification in Structural Health Monitoring
8. Context-Guided Hard-Negative Background Suppression for Crack Segmentation on Complex-Texture Farmland Roads
9. Inspection System for Bridge Surface Defects in Cold Regions Based on Parameter Sharing and Feature Enhancement
10. Asphalt pavement crack localisation based on depth camera and image-processing algorithms
11. Lightweight Bridge Crack Detection with YOLO-STCDE
12. Potato Defect Detection in Storage Environments via Multi-Scale Fusion and Dynamic Feature Interaction
13. Evaluating YOLO26s for Multi-Class Pavement Crack Detection: A Lightweight Approach for Sustainable Edge Deployment
14. Image-Only Automated Garment Sorting for Textile Reuse and Recycling Using a Multi-Model AI Framework
15. Automated Detection and Segmentation of Cracks in Urban Underground Structures Based on YOLOv8-SAM2
16. Instance Segmentation of Underground Roadway Fractures Based on an Improved YOLOv13n-Seg
17. Automated Borehole Core Analysis with Report-Derived Weak Labels and Supervised Crack Segmentation
18. Learnable Residual Local Binary Patterns: A Pretraining-Preserving Architecture for Cotton Percentage Estimation in RGB Fabric Images
19. Semantic segmentation and quantitative analysis of tunnel cracks and water leakage using a TransUNet framework
20. Precise Top-Layer Fabric Segmentation for Fabric Destacking with Edge- and Shape-Aware Deep Networks