A Method Based on Multi-Network Feature Fusion and Random Forest for Foreign Objects Detection on Transmission Lines

An efficient foreign objects detection network for power substation

(2021) Liang Xu et al.   IMAGE AND VISION COMPUTING

Adaptive exploitation of pre-trained deep convolutional neural networks for robust visual tracking

(2021) Seyed Mojtaba Marvasti-Zadeh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Effective fusion of deep multitasking representations for robust visual tracking

(2021) Seyed Mojtaba Marvasti-Zadeh et al.   VISUAL COMPUTER

Deep Learning-Based Bird’s Nest Detection on Transmission Lines Using UAV Imagery

(2020) Jin Li et al.   Applied Sciences-Basel

Loop Closure Detection Based on Multi-Scale Deep Feature Fusion

(2019) Baifan Chen et al.   Applied Sciences-Basel

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Novel Method of Autonomous Inspection for Transmission Line based on Cable Inspection Robot LiDAR Data

(2018) Xinyan Qin et al.   SENSORS

Detection of Bird’s Nest in High Power Lines in the Vicinity of Remote Campus Based on Combination Features and Cascade Classifier

(2018) Jianfeng Lu et al.   IEEE Access

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Short-Circuit Fault Protection Strategy for High-Power Three-Phase Three-Wire Inverter

(2012) Xuejun Pei et al.   IEEE Transactions on Industrial Informatics