The Relative Confusion Matrix, a Tool to Assess Classifiability in Large Scale Picking Applications

Alexander Balasch, Maximilian Beinhofer, Gerald Zauner

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

Original language	English
Title of host publication	IEEE International Conference on Robotics and Automation (ICRA 2020)
Publication status	Published - 2020
Event	IEEE International Conference on Robotics and Automation (ICRA 2020) - Paris, France Duration: 31 May 2020 → 4 Jun 2020 http://www.icra2020.org

Conference	IEEE International Conference on Robotics and Automation (ICRA 2020)
Country/Territory	France
City	Paris
Period	31.05.2020 → 04.06.2020
Internet address	http://www.icra2020.org

Cite this

@inproceedings{372f9e940010443da01e939da4b5461e,

title = "The Relative Confusion Matrix, a Tool to Assess Classifiability in Large Scale Picking Applications",

author = "Alexander Balasch and Maximilian Beinhofer and Gerald Zauner",

year = "2020",

language = "English",

booktitle = "IEEE International Conference on Robotics and Automation (ICRA 2020)",

note = "IEEE International Conference on Robotics and Automation (ICRA 2020) ; Conference date: 31-05-2020 Through 04-06-2020",

url = "http://www.icra2020.org",

}

TY - GEN

T1 - The Relative Confusion Matrix, a Tool to Assess Classifiability in Large Scale Picking Applications

AU - Balasch, Alexander

AU - Beinhofer, Maximilian

AU - Zauner, Gerald

PY - 2020

Y1 - 2020

M3 - Conference contribution

BT - IEEE International Conference on Robotics and Automation (ICRA 2020)

T2 - IEEE International Conference on Robotics and Automation (ICRA 2020)

Y2 - 31 May 2020 through 4 June 2020

ER -