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Table 1 Comparison between R-CNNs based on various mAP

From: Detection of Martian dust storms using mask regional convolutional neural networks

Networks

\(mAP_{25}\)

\(mAP_{50}\)

\(mAP_{75}\)

Time (ms)

strategy 1

strategy 2

strategy 1

strategy 2

strategy 1

strategy 2

strategy 1

strategy 2

Fast R-CNN

64.1

64.8

59.1

58.1

32.2

32.1

350

320

Mask R-CNN

67.8

68.1

61.2

60.5

38.1

33.1

290

300

SPPnet

62.5

63.2

50.1

53.1

22.5

20.1

370

360

Current R-CNN

68.2

67.5

62.1

61.2

39.0

37.7

320

310

  1. The highest mAP and the shortest time are presented in bold font. The \(mAP_{25}\) \(mAP_{50}\), \(mAP_{75}\) are mAPs with \(th_{IoU}\) of \(25\%\), \(50\%\) and \(75\%\)