Aircraft Detection for Remote Sensing Images Based on Deep Convolutional Neural Networks

Table 3

The comparison of multiple algorithms on AP for the aircraft.

Method	Backbone	AP (%)	FPS
DConvNet [31]	ResNet-101	71.8	6.7
DSSD [32]	ResNet-101	72.12	6.1
FFSSD [33]	VGG-16	72.95	38.2
ESSD [34]	VGG-16	73.08	37.3
DC-SPP-YOLO [35]	Figure 5 in [35]	73.16	33.5
UAV-YOLO [36]	Figure 1 in [36]	74.68	30.12
RFN [37]	ResNet-101	79.1	6.5
SigNMS [38]	VGG-16	80.6	6.7
Improved-YOLOv3 [39]	Figure 4 in [39]	86.42	25.8
MRFF-YOLO [40]	Figure 5 in [40]	87.16	25.1
MSRDN-M(Ours)	Figure 11	90.66	25