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

• Published in: IEEE transactions on circuits and systems for video technology Vol. 28; no. 10; pp. 2896 - 2907
• Main Authors: Kang, Kai, Li, Hongsheng, Yan, Junjie, Zeng, Xingyu, Yang, Bin, Xiao, Tong, Zhang, Cong, Wang, Zhe, Wang, Ruohui, Wang, Xiaogang, Ouyang, Wanli
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...