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Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense.

, , , , and . J. Sensors, (2019)

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Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network., , , , , , , and . J. Sensors, (2019)Apple detection during different growth stages in orchards using the improved YOLO-V3 model., , , , , and . Comput. Electron. Agric., (2019)MD-YOLO: Multi-scale Dense YOLO for small target pest detection., , , , , and . Comput. Electron. Agric., (October 2023)Modeling and analysis of wireless power transmission system for inspection robot., , , , and . ISIE, page 1-5. IEEE, (2013)Automatic Detection and Location of Weld Beads With Deep Convolutional Neural Networks., , , , , and . IEEE Trans. Instrum. Meas., (2021)Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection., , , , and . IEEE Trans. Instrum. Meas., (2023)Real-time segmentation of various insulators using generative adversarial networks., , , and . IET Comput. Vis., 12 (5): 596-602 (2018)Toward a Cluttered Environment for Learning-Based Multi-Scale Overhead Ground Wire Recognition., , , and . Neural Processing Letters, 48 (3): 1789-1800 (2018)Detection for power transmission line in low-resolution aerial image., , , , and . ROBIO, page 1406-1411. IEEE, (2017)Model-Based Trajectory Planning of a Hybrid Robot for Powerline Inspection., , , , , , and . IEEE Robotics Autom. Lett., 9 (4): 3443-3450 (2024)