Danielczuk, Michael, Matl, Matthew, Gupta, Saurabh, Li, Andrew, Lee, Andrew, Mahler, Jeffrey, and Goldberg, Ken. Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data. Retrieved from https://par.nsf.gov/biblio/10110282. 2019 International Conference on Robotics and Automation (ICRA) . Web. doi:10.1109/ICRA.2019.8793744.

Danielczuk, Michael, Matl, Matthew, Gupta, Saurabh, Li, Andrew, Lee, Andrew, Mahler, Jeffrey, & Goldberg, Ken. Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data. 2019 International Conference on Robotics and Automation (ICRA), (). Retrieved from https://par.nsf.gov/biblio/10110282. https://doi.org/10.1109/ICRA.2019.8793744

Danielczuk, Michael, Matl, Matthew, Gupta, Saurabh, Li, Andrew, Lee, Andrew, Mahler, Jeffrey, and Goldberg, Ken. "Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data". 2019 International Conference on Robotics and Automation (ICRA) (). Country unknown/Code not available. https://doi.org/10.1109/ICRA.2019.8793744. https://par.nsf.gov/biblio/10110282.

@article{osti_10110282,
place = {Country unknown/Code not available}, title = {Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data}, url = {https://par.nsf.gov/biblio/10110282}, DOI = {10.1109/ICRA.2019.8793744}, abstractNote = {}, journal = {2019 International Conference on Robotics and Automation (ICRA)}, author = {Danielczuk, Michael and Matl, Matthew and Gupta, Saurabh and Li, Andrew and Lee, Andrew and Mahler, Jeffrey and Goldberg, Ken}, }