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- W4313443666 abstract "Aiming at the low accuracy and reliability of traditional mine target detection methods, a mine target detection technology based on artificial intelligence algorithm is proposed. Through dataset construction, target detection model Yolo design, small target optimization, model compression, and other technical means, mine targets can be accurately recognized in visible light images. Experimental results show that the final index AP@0.5 is 0.929, AP@0.5:0.95 is 0.703. The detection results of the test set are good, which verifies the effectiveness of the proposed method." @default.
- W4313443666 created "2023-01-06" @default.
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- W4313443666 date "2023-01-01" @default.
- W4313443666 modified "2023-09-26" @default.
- W4313443666 title "A Mine Target Detection Technology Based on Artificial Intelligence Algorithm" @default.
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- W4313443666 doi "https://doi.org/10.1007/978-981-19-7184-6_1" @default.
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