Multi-Layer Feature Fusion for Small Target Detection Based on Yolov5-Reference-Cited by-同舟云学术

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Multi-Layer Feature Fusion for Small Target Detection Based on Yolov5

Published:2023-12-15 Issue: Volume:16 Page:5259-5264
ISSN:
Container-title:2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Liu Wei¹,Luo Yuanyuan²,Li Dezhi¹,Zeng Zhiqiang²,Wei Su²,Yan Yunfeng³

Affiliation:

1. State Grid Chongqing Electric Power Company,Chongqing,China,400015

2. Electric Power Research Institute, State Grid Chongqing Electric Power Company,Chongqing,China,400015

3. School of Mechanical Engineering, Zhejiang University,Hangzhou,China,310058

Funder

State Grid Corporation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511272/10512350/10513301.pdf?arnumber=10513301

Reference24 articles.

1. A classification model of power operation inspection defect texts based on graph convolutional network

2. IoT-Enabled Few-Shot Image Generation for Power Scene Defect Detection Based on Self-Attention and Global–Local Fusion

3. Online Equivalent Degradation Indicator Calculation for Remaining Charging-Discharging Cycle Determination of Lithium-Ion Batteries

4. Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions

5. Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery

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