[1] Li H B, Xu C Y, Hu C C. Improved real-time vehicle detection method based on YOLOV3[J]. Laser & Optoelectronics Progress, 57, 101507(2020).

[2] Duan Z J, Li S B, Hu J J et al. Review of deep learning based object detection methods and their mainstream frameworks[J]. Laser & Optoelectronics Progress, 57, 120005(2020).

[3] Cai Z W, Fan Q F, Feris R S et al. A unified multi-scale deep convolutional neural network for fast object detection[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9908, 354-370(2016).

[4] Hu X W, Xu X M, Xiao Y J et al. SINet: a scale-insensitive convolutional neural network for fast vehicle detection[J]. IEEE Transactions on Intelligent Transportation Systems, 20, 1010-1019(2019).

[5] Kampffmeyer M, Salberg A B, Jenssen R. Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks[C], 680-688(2016).

[6] Liu F, Guo M, Wang X J. Small target detection based on cross-scale fusion convolution neural network[J]. Laser & Optoelectronics Progress, 58, 0610012(2021).

[7] Liu L R, Tang X M, Zhao W J et al. Detection and geo-localization of small traffic signs based on images and laser data[J]. Chinese Journal of Lasers, 47, 0910002(2020).

[8] Ren J, Chen X H, Liu J B et al. Accurate single stage detector using recurrent rolling convolution[C], 752-760(2017).

[9] Takeki A, Trinh T T, Yoshihashi R et al. Combining deep features for object detection at various scales: finding small birds in landscape images[J]. IPSJ Transactions on Computer Vision and Applications, 8, 5(2016).

[10] Dosovitskiy A, Beyer L, Kolesnikov A et al. An image is worth16x16 words: transformers for image recognition at scale[EB/OL]. https://arxiv.org/abs/2010.11929

[11] Rabbi J, Ray N, Schubert M et al. Small-object detection in remote sensing images with end-to-end edge-enhanced GAN and object detector network[J]. Remote Sensing, 12, 1432(2020).

[12] Wang X T, Yu K, Wu S X et al. ESRGAN: enhanced super-resolution generative adversarial networks[M]. Leal-Taixé L, Roth S. Computer vision-ECCV 2018 workshops. Lecture notes in computer science, 11133, 63-79(2019).

[13] Liu Z, Lin Y T, Cao Y et al. Swin transformer: hierarchical vision transformer using shifted windows[C], 9992-10002(2021).

[14] Cai Z W, Vasconcelos N. Cascade R-CNN: delving into high quality object detection[C], 6154-6162(2018).