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

@article{Kang2018TCNNTW,
  title={T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos},
  author={Kai Kang and Hongsheng Li and Junjie Yan and Xingyu Zeng and Bin Yang and Tong Xiao and Cong Zhang and Zhe Wang and Ruohui Wang and Xiaogang Wang and Wanli Ouyang},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2018},
  volume={28},
  pages={2896-2907}
}
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 an essential role in improving the state of the art. Despite their effectiveness on still images, those frameworks are not specifically designed for object detection from videos. Temporal and… CONTINUE READING
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