CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video

Huizi Mao, Taeyoung Kong, Bill Dally. CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. In Ameet Talwalkar, Virginia Smith, Matei Zaharia, editors, Proceedings of Machine Learning and Systems 2019, MLSys 2019, Stanford, CA, USA, March 31 - April 2, 2019. mlsys.org, 2019. [doi]

@inproceedings{MaoKD19,
  title = {CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video},
  author = {Huizi Mao and Taeyoung Kong and Bill Dally},
  year = {2019},
  url = {https://proceedings.mlsys.org/book/256.pdf},
  researchr = {https://researchr.org/publication/MaoKD19},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of Machine Learning and Systems 2019, MLSys 2019, Stanford, CA, USA, March 31 - April 2, 2019},
  editor = {Ameet Talwalkar and Virginia Smith and Matei Zaharia},
  publisher = {mlsys.org},
}