[PDF][PDF] 基于深度学习的输电线路视觉检测方法研究进展
刘传洋， 吴一全 - 中国电机工程学报, 2023 - epjournal.csee.org.cn
基于深度学习的输电线路视觉检测方法研究进展 Page 1 第43 卷第19 期 中国电机工程学报 Vol.43
No.19 Oct. 5, 2023 2023 年10 月5 日 Proceedings of the CSEE ©2023 Chin.Soc.for Elec.Eng …
No.19 Oct. 5, 2023 2023 年10 月5 日 Proceedings of the CSEE ©2023 Chin.Soc.for Elec.Eng …
Recent Advances for Aerial Object Detection: A Survey
Aerial object detection, as object detection in aerial images captured from an overhead
perspective, has been widely applied in urban management, industrial inspection, and other …
perspective, has been widely applied in urban management, industrial inspection, and other …
What a mess: Multi-domain evaluation of zero-shot semantic segmentation
While semantic segmentation has seen tremendous improvements in the past, there are still
significant labeling efforts necessary and the problem of limited generalization to classes …
significant labeling efforts necessary and the problem of limited generalization to classes …
Power line-guided automatic electric transmission line inspection system
C Xu, Q Li, Q Zhou, S Zhang, D Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The existing unmanned aerial vehicle (UAV)-based electric transmission line inspection
systems generally adopt manual control and follow the predefined path, which reduces the …
systems generally adopt manual control and follow the predefined path, which reduces the …
Confidence score: The forgotten dimension of object detection performance evaluation
S Wenkel, K Alhazmi, T Liiv, S Alrshoud, M Simon - Sensors, 2021 - mdpi.com
When deploying a model for object detection, a confidence score threshold is chosen to filter
out false positives and ensure that a predicted bounding box has a certain minimum score …
out false positives and ensure that a predicted bounding box has a certain minimum score …
DDOS: the drone depth and obstacle segmentation dataset
B Kolbeinsson, K Mikolajczyk - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
The advancement of autonomous drones essential for sectors such as remote sensing and
emergency services is hindered by the absence of training datasets that fully capture the …
emergency services is hindered by the absence of training datasets that fully capture the …
Attention-based multimodal image feature fusion module for transmission line detection
Transmission line (TL) inspection is important for ensuring a stable supply of electricity to
rural areas. Currently, there are several TL detection approaches based on computer vision; …
rural areas. Currently, there are several TL detection approaches based on computer vision; …
Autonomous power line inspection with drones via perception-aware mpc
Drones have the potential to revolutionize power line inspection by increasing productivity,
reducing inspection time, improving data quality, and eliminating the risks for human …
reducing inspection time, improving data quality, and eliminating the risks for human …
Dual-space graph-based interaction network for RGB-thermal semantic segmentation in electric power scene
C Xu, Q Li, X Jiang, D Yu, Y Zhou - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Real-time scene comprehension is the basis for automatic electric power inspection.
However, existing RGB-based scene comprehension methods may achieve unsatisfied …
However, existing RGB-based scene comprehension methods may achieve unsatisfied …
A novel focal phi loss for power line segmentation with auxiliary classifier U-Net
The segmentation of power lines (PLs) from aerial images is a crucial task for the safe
navigation of unmanned aerial vehicles (UAVs) operating at low altitudes. Despite the …
navigation of unmanned aerial vehicles (UAVs) operating at low altitudes. Despite the …