T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos

The state-of-the-art performance for object detection has been significantly improved over the past two years. Besides the introduction of powerful deep neural networks, such as GoogleNet and VGG, novel object detection frameworks, such as R-CNN and its successors, Fast R-CNN, and Faster R-CNN, play...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2018-10, Vol.28 (10), p.2896-2907
Hauptverfasser:	Kang, Kai, Li, Hongsheng, Yan, Junjie, Zeng, Xingyu, Yang, Bin, Xiao, Tong, Zhang, Cong, Wang, Zhe, Wang, Ruohui, Wang, Xiaogang, Ouyang, Wanli
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks computer vision Convolutional codes Image detection Machine learning Neural networks Object detection Object recognition Proposals State of the art Target tracking Training Trucks Videos
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