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机译:T-CNN:具有卷积神经网络的小管,用于从视频中检测对象
The Chinese University of Hong Kong, Hong Kong;
The Chinese University of Hong Kong, Hong Kong;
SenseTime Group Ltd., Beijing, China;
SenseTime Group Ltd., Beijing, China;
Computer Science Department, University of Toronto, Toronto, ON, Canada;
The Chinese University of Hong Kong, Hong Kong;
Shanghai Jiao Tong University, Shanghai, China;
The Chinese University of Hong Kong, Hong Kong;
The Chinese University of Hong Kong, Hong Kong;
The Chinese University of Hong Kong, Hong Kong;
The Chinese University of Hong Kong, Hong Kong;
Videos; Object detection; Proposals; Neural networks; Training; Convolutional codes; Target tracking;
机译:来自无人机通过卷积神经网络拍摄的视频的对象检测
机译:基于检测和跟踪的小管生成,用于视频对象检测
机译:基于卷积神经网络的高分辨率遥感图像中具有合适对象尺度特征的对象检测
机译:卷积神经网络从视频小管中进行目标检测
机译:使用深度学习卷积神经网络框架的特征工程技术在视频中检测视频
机译:基于深度卷积神经网络和物体检测技术鉴定番茄疾病类型和检测感染区域的勘探。
机译:T-CNN:具有用于物体检测的卷积神经网络的小管 来自视频