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A Novel Building Worker Detection based on Cross Feature Pyramid Network
2021 8th International Conference on Dependable Systems and Their Applications (DSA)2021Vol. 49, pp. 732–733
Abstract
The safety of building worker is important in construction industry. In order to realize the worker intelligent management, a novel building worker detection based on cross feature pyramid network is proposed to come true the real-time detection of workers. The proposed cross feature pyramid network uses cross feature of different layers to obtain robust feature of workers. The extracted feature may include high-level and low-level features. Experimental results indicate that the proposed algorithm obtain better performance than the traditional feature pyramid network.
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