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A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices
It is necessary to improve the performance of the object detection algorithm in resource-constrained embedded devices by lightweight improvement. In order to further improve the recognition accuracy of the algorithm for small target objects, this paper integrates 5 × 5 deep detachable convolution ke...
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| I publikationen: | Comput Intell Neurosci |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Hindawi
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7755469/ https://ncbi.nlm.nih.gov/pubmed/33381158 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/6616584 |
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