Bird's Nest Detection in Power Transmission Lines with Fusion of Attention and Multi-scale Features-Reference-Cited by-同舟云学术

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Bird's Nest Detection in Power Transmission Lines with Fusion of Attention and Multi-scale Features

Published:2023-09-22 Issue: Volume:35 Page:49-55
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Robot Systems and Applications
language:
Short-container-title:

Author:

Tao Mei¹^ORCID,Gengsheng Zheng²^ORCID

Affiliation:

1. 1. School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430205, China; 2. Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan 430205, China, Wuhan Institute of Technology, Wuhan 430205, China, China

2. 1. School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430205, China; 2. Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan 430206, China, Wuhan Institute of Technology, Wuhan 430205, China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3655532.3655542

Reference15 articles.

1. QIAO L, ZHAO Y, LI Z, Defrcn: Decoupled faster r-cnn for few-shot object detection[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision.2021: 8681-8690.

2. Automatic knee meniscus tear detection and orientation classification with Mask-RCNN

3. SHA Z, CAI Z, TRAHAY F, Unifying temporal and spatial locality for cache management inside SSDs[C]//DATE 2022: 25th Design, Automation and Test in Europe.IEEE,2022: 1-6.

4. A small attentional YOLO model for landslide detection from satellite remote sensing images

5. Jiang H, Huang W, Chen J, Detection of Bird Nests on Power Line Patrol Using Single Shot Detector[C]. Chinese Automation Congress (CAC), 2019: 3409-3414.

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