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. 2019 Jan 22;14(4):611–621. doi: 10.1007/s11548-019-01914-4

Table 2.

Average Recall Rate (ARR), Average Precision Rate (APR), sensitivity (SE) and specificity (SP) and F-measure (FM) for the state-of-the-art object detection deep learning methods on the EAC dataset based on 5-fold-CV

Method APR ARR SE SP FM
R-CNN 0.48 0.41 0.50 0.40 0.48
Fast R-CNN 0.62 0.43 0.64 0.64 0.64
Faster R-CNN 0.68 0.83 0.78 0.80 0.79
SSD 0.70 0.79 0.90 0.88 0.88

Bold values represent the highest values