Target detection method and system based on heterogeneous composite trunk
The invention discloses a target detection method and system based on a heterogeneous composite trunk, and the method comprises the steps: obtaining training data, and carrying out the preprocessing of the training data, and obtaining preprocessed data; constructing a target detection network based...
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creator | ZHENG HUICHENG CHEN MANWEI LI YE YAN ZHIWEI |
description | The invention discloses a target detection method and system based on a heterogeneous composite trunk, and the method comprises the steps: obtaining training data, and carrying out the preprocessing of the training data, and obtaining preprocessed data; constructing a target detection network based on the heterogeneous composite backbone architecture; training the target detection network based on the preprocessed data and a preset training strategy to obtain a trained target detection network; and acquiring to-be-detected data, inputting the to-be-detected data into the trained target detection network, and outputting a detection result. The system comprises a preprocessing module, a network construction module, a training module and a detection module. By using the method, the complementary features learned by the two heterogeneous backbone networks are integrated, and feature redundancy is avoided, so that the overall feature expression and target detection performance of the detector are enhanced. The tar |
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The system comprises a preprocessing module, a network construction module, a training module and a detection module. By using the method, the complementary features learned by the two heterogeneous backbone networks are integrated, and feature redundancy is avoided, so that the overall feature expression and target detection performance of the detector are enhanced. 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The system comprises a preprocessing module, a network construction module, a training module and a detection module. By using the method, the complementary features learned by the two heterogeneous backbone networks are integrated, and feature redundancy is avoided, so that the overall feature expression and target detection performance of the detector are enhanced. 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The system comprises a preprocessing module, a network construction module, a training module and a detection module. By using the method, the complementary features learned by the two heterogeneous backbone networks are integrated, and feature redundancy is avoided, so that the overall feature expression and target detection performance of the detector are enhanced. The tar</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Target detection method and system based on heterogeneous composite trunk |
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