Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation

Siyi Li, Jiaji Zhou, Zhenzhong Jia, Dit-Yan Yeung, Matthew T. Mason. Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation. In Jing Xiao 0001, Torsten Kröger, Oussama Khatib, editors, Proceedings of the 2018 International Symposium on Experimental Robotics, ISER 2018, Buenos Aires, Argentina, November 5-8, 2018. Volume 11 of Springer Proceedings in Advanced Robotics, pages 245-255, Springer, 2018. [doi]

@inproceedings{LiZJYM18,
  title = {Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation},
  author = {Siyi Li and Jiaji Zhou and Zhenzhong Jia and Dit-Yan Yeung and Matthew T. Mason},
  year = {2018},
  doi = {10.1007/978-3-030-33950-0_22},
  url = {https://doi.org/10.1007/978-3-030-33950-0_22},
  researchr = {https://researchr.org/publication/LiZJYM18},
  cites = {0},
  citedby = {0},
  pages = {245-255},
  booktitle = {Proceedings of the 2018 International Symposium on Experimental Robotics, ISER 2018, Buenos Aires, Argentina, November 5-8, 2018},
  editor = {Jing Xiao 0001 and Torsten Kröger and Oussama Khatib},
  volume = {11},
  series = {Springer Proceedings in Advanced Robotics},
  publisher = {Springer},
  isbn = {978-3-030-33950-0},
}