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- W4385485593 abstract "It is a challenging task to detect small parts of the ammeter, which is essential to defect inspection on meters. In this paper, we propose a multi-pass detection method to improve the accuracy of detecting small objects. The position distribution patterns of small parts are found by clustering the data of the relative position to the meter in the labeled dataset. In the first pass, the whole meter is detected. In the second pass, the potential areas including small parts are found according to the distribution patterns, and then they are cropped and sent to the detection process to find out small objects. The experimental results show that the method can effectively improve the accuracy of small part detection, compared with object detection without utilizing distribution pattern of small objects." @default.
- W4385485593 created "2023-08-03" @default.
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- W4385485593 date "2023-03-17" @default.
- W4385485593 modified "2023-09-23" @default.
- W4385485593 title "A Scheme to Improve the Detection Accuracy of Small Parts of Electric Meters" @default.
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- W4385485593 doi "https://doi.org/10.1145/3594315.3594320" @default.
- W4385485593 hasPublicationYear "2023" @default.
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