论文标题
人类不同意测量对象检测器定位错误的IOU
Humans disagree with the IoU for measuring object detector localization error
论文作者
论文摘要
自动对象探测器的定位质量通常通过联合（IOU）分数进行评估。在这项工作中，我们表明人类对本地化质量有不同的看法。为了评估这一点，我们对70多名参与者进行了调查。结果表明，对于以完全相同的IOU得分的本地化错误，人类可能不会认为这些错误是相等的，并且表达了偏好。我们的工作是第一个与人类一起评估IOU的工作，并清楚地表明，仅依靠IOU得分来评估本地化错误可能还不够。
The localization quality of automatic object detectors is typically evaluated by the Intersection over Union (IoU) score. In this work, we show that humans have a different view on localization quality. To evaluate this, we conduct a survey with more than 70 participants. Results show that for localization errors with the exact same IoU score, humans might not consider that these errors are equal, and express a preference. Our work is the first to evaluate IoU with humans and makes it clear that relying on IoU scores alone to evaluate localization errors might not be sufficient.
