DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation

Yan-Jie Zhou, Shi-Qi Liu, Xiao-Liang Xie, Zeng-Guang Hou. DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation. In Heng Tao Shen, Yueting Zhuang, John R. Smith, Yang Yang, Pablo Cesar, Florian Metze, Balakrishnan Prabhakaran, editors, MM '21: ACM Multimedia Conference, Virtual Event, China, October 20 - 24, 2021. pages 3360-3369, ACM, 2021. [doi]

@inproceedings{ZhouLXH21,
  title = {DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation},
  author = {Yan-Jie Zhou and Shi-Qi Liu and Xiao-Liang Xie and Zeng-Guang Hou},
  year = {2021},
  doi = {10.1145/3474085.3475491},
  url = {https://doi.org/10.1145/3474085.3475491},
  researchr = {https://researchr.org/publication/ZhouLXH21},
  cites = {0},
  citedby = {0},
  pages = {3360-3369},
  booktitle = {MM '21: ACM Multimedia Conference, Virtual Event, China, October 20 - 24, 2021},
  editor = {Heng Tao Shen and Yueting Zhuang and John R. Smith and Yang Yang and Pablo Cesar and Florian Metze and Balakrishnan Prabhakaran},
  publisher = {ACM},
  isbn = {978-1-4503-8651-7},
}