臭名昭著 发表于 2025-3-25 03:38:20

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Condyle 发表于 2025-3-25 08:38:31

Studies in Computational Intelligencehttp://image.papertrans.cn/r/image/830946.jpg

代替 发表于 2025-3-25 12:16:30

https://doi.org/10.1007/978-981-10-4539-4Feature extraction; Classified roadside objects; Roadside Fire Risk Assessment; Neural Network Learning

心神不宁 发表于 2025-3-25 19:49:29

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草率男 发表于 2025-3-25 23:02:34

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变色龙 发表于 2025-3-26 00:52:15

Deep Learning Techniques for Roadside Video Data Analysis,In this chapter, we describe deep learning techniques that are proposed for roadside video data analysis. We firstly present an introduction to deep learning concepts, and a short review of several typical types of CNN.

engrave 发表于 2025-3-26 06:17:21

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得体 发表于 2025-3-26 11:02:43

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馆长 发表于 2025-3-26 13:34:03

Brijesh Verma,Ligang Zhang,David StockwellHighlights deep learning, to better understand roadside video data segmentation.Provides learning techniques based on concepts for roadside video data processing.Discusses fire risk assessment based o

歪曲道理 发表于 2025-3-26 17:53:51

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查看完整版本: Titlebook: Roadside Video Data Analysis; Deep Learning Brijesh Verma,Ligang Zhang,David Stockwell Book 2017 Springer Nature Singapore Pte Ltd. 2017 Fe