Towards High Performance Video Object Detection

Xizhou Zhu, Jifeng Dai, Lu Yuan, Yichen Wei; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 7210-7218

Abstract


There has been significant progresses for image object detection recently. Nevertheless, video object detection has received little attention, although it is more challenging and more important in practical scenarios. Built upon the recent works, this work proposes a unified viewpoint based on the principle of multi-frame end-to-end learning of features and cross-frame motion. Our approach extends prior works with three new techniques and steadily pushes forward the performance envelope (speed-accuracy tradeoff), towards high performance video object detection.

Related Material


[pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Xizhou and Dai, Jifeng and Yuan, Lu and Wei, Yichen},
title = {Towards High Performance Video Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}