Aug 2026· Journal of Real-Time Image Processing· Vol 23· 0 citations· 38 references
TL;DR
WeldFormer is proposed, a real-time task-aligned multi-scale detection framework that systematically addresses challenges through three novel components: small object enhancement pyramid (SOEP) preserving fine-grained features via space-to-depth transformation, omni-dimensional dynamic convolution (C2f-ODConv) enabling adaptive feature extraction, and task-aligned dynamic detection head (TADDH) explicitly aligning classification with localization quality.
Online visual perception for thick-plate welding requires robust weld-geometry estimation under strong specular reflections, smoke, spatter, and local occlusion, while maintaining low computational overhead for online measurement and control. To address these challenges, this paper proposes Weld-SDPose, a lightweight m...
Tao Wu, Sheng-Peng Fu, Zhi-Ling Chen et al.· Measurement science and tech...· 0 citations
Laser welding is a key joining process for large complex curved ship components, where precise real-time weld defect detection is critical to hull structural safety. However, current lightweight detection models struggle to simultaneously achieve high accuracy for tiny defects and high inference speed under industrial...
Tong Chen· Research on Engineering Stru...· 0 citations
Hot-rolled strip steel surface defect detection is a vital industrial task that demands both high precision and real-time inference. Nevertheless, existing deep-learning-based detectors struggle to balance accuracy and speed, limiting their practical deployment on resource-constrained edge devices within harsh manufact...
Zhi-Jun Rong, Ao-Han Deng, Yi-Heng Wang et al.· Italian National Conference...· 0 citations
Accurate weld keypoint localization is an important visual perception task for robotic welding, weld tracking, and intelligent manufacturing. However, weld keypoints in line-structured light images are usually small, weakly textured, and easily affected by reflections, noise, and spurious laser stripes. These factors m...
Yun-Song Yan, Xiao-Ning Meng, Wei Liu et al.· Machines· 0 citations
Automated robotic welding requires precise detection and localization of weld seams to generate accurate motion trajectories. Existing approaches based on edge detection and threshold segmentation often lack robustness under challenging industrial environments—such as arc interference and surface contamination. Althoug...
Xiao-Peng Fang, Chao-Long Zhang, Yuan-Ping Xu et al.· International Conference on...· 0 citations
Weld defect detection is critical for ensuring welding quality, and object detection has become an effective approach for localizing weld-seam defects. To reduce missed detections of small defects and address the significant scale variation in defects in ultrasonic phased-array S-scan images of boiler welds, this paper...
Jian-Qiang Huang, Wei-Rong Xu, Juan Zhou et al.· Applied Sciences· 0 citations
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