SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition With Distractors

Mona Jalal, Josef B. Spjut, Ben Boudaoud, Margrit Betke. SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition With Distractors. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019. pages 475-477, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{JalalSBB19,
  title = {SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition With Distractors},
  author = {Mona Jalal and Josef B. Spjut and Ben Boudaoud and Margrit Betke},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPRW_2019/html/WiCV/Jalal_SIDOD_A_Synthetic_Image_Dataset_for_3D_Object_Pose_Recognition_CVPRW_2019_paper.html},
  researchr = {https://researchr.org/publication/JalalSBB19},
  cites = {0},
  citedby = {0},
  pages = {475-477},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}