EURASIP Journal on Image and Video Processing

Table 5 Comparison of detection accuracy and detection time of different target detection methods

From: Performance analysis of different DCNN models in remote sensing image object detection

Method	Backbone	mAP@.5	mAP@[.5:.95]	Time
Faster R-CNN	ResNet50	0.750	0.497	96.5 ms
RetinaNet	ResNet50	0.816	0.591	22.6 ms
CenterNet	Harglass52	0.771	0.557	14.2 ms
YoloV3	DarkNet53	0.768	0.539	13.4 ms
YoloV4	CSPDarknet53	0.882	0.639	12.3 ms
Our	CSPDarknet53*	0.908	0.667	15.4 ms

*Denotes our optimized CSPDarknet53 backbone network. The best results are shown in bold

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