What’s in the Black Box? The False Negative Mechanisms Inside Object Detectors

Author:

Miller Dimity1ORCID,Moghadam Peyman1ORCID,Cox Mark1ORCID,Wildie Matt1ORCID,Jurdak Raja2ORCID

Affiliation:

1. Robotics and Autonomous Systems Group, DATA61, CSIRO, Brisbane, QLD, Australia

2. Trusted Networks Lab, Queensland University of Technology (QUT), Brisbane, QLD, Australia

Funder

CSIRO’s 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

Reference26 articles.

1. YOLO9000: Better, Faster, Stronger

2. Yolov3: An incremental improvement;redmon,2018

3. Ssd: Single shot multibox detector;liu;Proc Eur Conf Comput Vis,0

4. The Pascal Visual Object Classes (VOC) Challenge

5. Diagnosing Error in Object Detectors

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