Web: http://arxiv.org/abs/2206.07705

June 16, 2022, 1:13 a.m. | Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov

cs.CV updates on arXiv.org arxiv.org

The popular object detection metric 3D Average Precision (3D AP) relies on
the intersection over union between predicted bounding boxes and ground truth
bounding boxes. However, depth estimation based on cameras has limited
accuracy, which may cause otherwise reasonable predictions that suffer from
such longitudinal localization errors to be treated as false positives and
false negatives. We therefore propose variants of the popular 3D AP metric that
are designed to be more permissive with respect to depth estimation errors.
Specifically, …

3d arxiv cv detection error precision

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