A novel model based on DETR–the Small Object Enhancement Mechanism Detection Transformer (SOEM-DETR) is proposed, introducing a multi-scale enhanced feature pyramid architecture that efficiently fusing multi-scale features through the Cross-Stage Small Object Enhancement Module (CSP-SOEM).
In photovoltaic cell manufacturing, various surface defects including cracks, black cores, and finger interruptions may be introduced during production and operation, leading to reduced power generation efficiency, accelerated degradation, and potential module failure. Although deep learning-based methods have advanced...
Jing-Ling Zhang, Yu-Cheng Yu, Guang-Guang Yang et al.· 2026 2nd International Confe...· 0 citations
Accurate and efficient detection of defects during the manufacturing process of photovoltaic (PV) panels is critical for ensuring product quality and operational reliability. However, developing lightweight deep learning models capable of handling diverse defect types remains a significant challenge. To address this is...
Mehmet Fatih Bekciogullari, H. Acikgoz, S. Ozbay· IEEE Access· 0 citations
Remote sensing change detection (RSCD), widely used in industrial and military applications, aims to accurately identify surface changes by comparing two temporally separated images of the same region. In recent years, deep learning has greatly advanced the development of RSCD. However, in complex environments, subtle...
Jingqi Chen, Yonghong Song, Yifei Gao et al.· IEEE Transactions on Geoscie...· 0 citations
This study proposes an adaptive perceptual multi-scale detection transformer (APM-DETR), a detection network customized for real-world complex road environments that achieves highly competitive detection accuracy, outperforming existing models on multiple defect types.
Yang Lu, Xiao-Bao Li, Shao-Hui Jin et al.· Measurement science and tech...· 0 citations
Small object detection (SOD) is a crucial research area in the field of computer vision. It poses significant challenges due to variations in scale, dense objects, limited target resolution, and a complex background. To achieve real-time detection, existing methods typically focus on local feature extraction and employ...
Shahzad Hussain, Iqra Mumtaz, Usman Ahmad et al.· Remote Sensing· 0 citations
Although Transformer-based real-time object detectors have achieved promising performance in autonomous driving scenarios, their ability to detect small objects remains limited. This limitation primarily arises because small objects occupy only a few pixels in an image and contain weak edge and texture information, whi...
