Uncertainty for Identifying Open-Set Errors in Visual Object Detection-Reference-Cited by-同舟云学术

Uncertainty for Identifying Open-Set Errors in Visual Object Detection

Published:2022-01 Issue:1 Volume:7 Page:215-222
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Miller Dimity^ORCID,Sunderhauf Niko^ORCID,Milford Michael^ORCID,Dayoub Feras^ORCID

Funder

Australian Research Council

Centre of Excellence for Robotic Vision

QUT Centre for Robotics

CSIRO Machine Learning and Artificial Intelligence Future Science Platform

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9568780/09591346.pdf?arnumber=9591346

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