[1] Junhwan R, Sungho K. Small infrared target detection by data-driven proposal and deep learning-based classification[C], 10621J-10624J(2018).

[2] Sui X, Chen Q, Bai L. Detection algorithm of targets for infrared search system based on area infrared focal plane array under complicated background[J]. Optik, 123, 235-239(2012).

[3] Zhao J, Tang Z, Yang J et al. Infrared small target detection using sparse representation[J]. Journal of systems engineering and electronics, 22, 897-904(2011).

[4] Li M, Lin Z, Long Y et al. Joint detection and tracking of size-varying infrared targets based on block-wise sparse decomposition[J]. Infrared Physics and Technology, 76, 131-138(2016).

[5] Gao J, Lin Z, An W. Infrared small target detection using a temporal variance and spatial patch contrast filter[J]. IEEE Access, 7, 32217-32226(2019).

[6] Zhang W, Cong M, Wang L. Algorithms for optical weak small targets detection and tracking: Review[C], 643-647(2003).

[7] Chen C, Li H, Wei Y, Xia T et al. A local contrast method for small infrared target detection[J]. IEEE transactions on geoscience and remote sensing, 52, 574-581(2014).

[8] Warren R. Detection of distant airborne targets in cluttered backgrounds in infrared image sequences[D](2002).

[9] Barnett J. Statistical analysis of median subtraction filtering with application to point target detection in infrared backgrounds[C], 10-18(1989).

[10] Tom V, Peli T, Leung M, Bondaryk J. Morphology-based algorithm for point target detection in infrared backgrounds[C], 2-11(1993).

[11] Deshpande S D, Meng H E, Venkateswarlu R et al. Max-mean and max-median filters for detection of small targets[C], 74-83(1999).

[12] Yu Q, Huang S, Zhao W et al. A fusion detection algorithm of small infrared target based on spatial-temporal accumulative difference[J]. Journal of projectiles, rockets, missiles and guidance, 34, 181-189(2014).

[13] Schmidt W. Modified matched filter for cloud clutter suppression[J]. IEEE transactions on pattern analysis and machine intelligence, 12, 594-600(1990).

[14] Gao C, Meng D, Yang Y et al. Infrared patch-image model for small target detection in a single image[J]. IEEE transactions on image processing, 22, 5996-5009(2013).

[15] Girshick R, Donahue J, Darrell T. Region-based convolutional networks for accurate object detection and segmentation[J]. IEEE Transactions on pattern analysis and machine intelligence, 38, 142-158(2016).

[16] Girshick R. Fast R-CNN[C], 1440-1448(2015).

[17] Ren S, He K, Girshick R et al. Faster RCNN: Towards real-time object detection with region proposal networks[C], 91-99(2015).

[18] He K, Gkioxari G, Dollar P. Mask R-CNN[C], 2980-2988(2017).

[19] Redmon J, Divvala S, Gishick R. You only look once: Unified, real-time object detection[C], 779-788(2016).

[20] Joseph R, Farhadi A. YOLO3: An incremental improvement[J]. ArXiv preprint, 1-6(2018).

[21] Liu M, Du H, Zhao Y et al. Image small target detection based on deep learning with SNR controlled sample generation[C], 211-220(2017).

[22] Lin L, Wang S, Tang Z. Using deep learning to detect small targets in infrared oversampling images[J]. Journal of Systems Engineering and Electronics, 5, 947-952(2018).

[23] Ian G, Yoshua B, Aaron C[M]. Deep learning(2017).

[24] Wang M, Liu B, Hassan F. Factorized convolutional neural networks[C], 1-10(2017).

[25] Sun L, Jia K, Yeung D et al. Human action recognition using factorized spatio-temporal convolutional networks[C], 4597-4605(2015).

[26] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. ArXiv preprint, 1409-1556(2014).

[27] Long J, Evan S, Trevor D. Fully convolutional networks for semantic segmentation[C], 1-10(2015).

[28] Kim S. Double layered-background removal filter for detecting small infrared targets in heterogenous backgrounds[J]. Journal of infrared, millimeter and terahertz waves, 32, 79-101(2011).

[29] Guo C, Deyu M, Yi Y et al. Infrared patch-image model for small target detection in a single image[J]. IEEE transactions on image processing, 22, 4996-5009(2013).

[30] He Y, Li M, Zhang J et al. Small infrared target detection based on low-rank and sparse representation[J]. Infrared physics & technology, 68, 98-109(2015).