PowerDet:Efficient and Lightweight Object Detection for Electric Power Open Scenes
Published in CCIS, 2021
Recommended citation: S. Wang, Z. Ou and M. Song, "PowerDet: Efficient and Lightweight Object Detection for Electric Power Open Scenes," 2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS), Xi'an, China, 2021, pp. 198-202, doi: 10.1109/CCIS53392.2021.9754678. https://ieeexplore.ieee.org/document/9754678
There are problems with the schemes in open electric power scenes, e.g., only able to detect single category, low detection accuracy of multi-scale objects, and difficulty in deploying models on mobile devices. To address the challenges mentioned above, we propose an object detection model, named PowerDet. It is able to detect 9 different types of power facilities efficiently with low cost.
Recommended citation: S. Wang, Z. Ou and M. Song, “PowerDet: Efficient and Lightweight Object Detection for Electric Power Open Scenes,” 2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS), Xi’an, China, 2021, pp. 198-202, doi: 10.1109/CCIS53392.2021.9754678.