Acta Optica Sinica, Volume. 42, Issue 24, 2415001(2022)
Small Object Detection in Remote Sensing Images Based on Feature Fusion and Attention
[1] Gao X B, Mo M J C, Wang H T et al. Recent advances in small object detection[J]. Journal of Data Acquisition and Processing, 36, 391-417(2021).
[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] Girshick R. Fast R-CNN[C], 1440-1448(2015).
[4] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).
[5] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C], 2980-2988(2017).
[6] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C], 779-788(2016).
[7] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016, 9905, 21-37(2016).
[8] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C], 6517-6525(2017).
[9] Redmon J, Farhadi A. YOLOv3: an incremental improvement[EB/OL]. https://arxiv.org/abs/1804.02767
[12] Ju M R, Luo J N, Wang Z B et al. Multi-scale target detection algorithm based on attention mechanism[J]. Acta Optica Sinica, 40, 1315002(2020).
[13] Zhao B, Wang C P, Fu Q et al. Multi-scale infrared pedestrian detection based on deep attention mechanism[J]. Acta Optica Sinica, 40, 0504001(2020).
[14] Kasper-Eulaers M, Hahn N, Berger S et al. Short communication: detecting heavy goods vehicles in rest areas in winter conditions using YOLOv5[J]. Algorithms, 14, 114(2021).
[15] Yan B, Fan P, Lei X Y et al. A real-time apple targets detection method for picking robot based on improved YOLOv5[J]. Remote Sensing, 13, 1619(2021).
[16] Liu T, Zhou B J, Zhao Y S et al. Ship detection algorithm based on improved YOLO V5[C], 483-487(2021).
[17] Sun Y C, Pan S G, Zhao T et al. Traffic light detection based on optimized YOLOv3 algorithm[J]. Acta Optica Sinica, 40, 1215001(2020).
[19] Lian J, Yin Y H, Li L H et al. Small object detection in traffic scenes based on attention feature fusion[J]. Sensors, 21, 3031(2021).
[20] Zhan W, Sun C F, Wang M C et al. An improved Yolov5 real-time detection method for small objects captured by UAV[J]. Soft Computing, 26, 361-373(2022).
[21] Kim M, Jeong J, Kim S. ECAP-YOLO: efficient channel attention pyramid YOLO for small object detection in aerial image[J]. Remote Sensing, 13, 4851(2021).
[22] He K M, Zhang X Y, Ren S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015).
[23] Liu S T, Huang D, Wang Y H. Receptive field block net for accurate and fast object detection[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018, 11215, 404-419(2018).
[24] Wang Q L, Wu B G, Zhu P F et al. ECA-net: efficient channel attention for deep convolutional neural networks[C], 11531-11539(2020).
[26] Lin T Y, Maire M, Belongie S et al. Microsoft COCO: common objects in context[M]. Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014, 8693, 740-755(2014).
[27] Xia G S, Bai X, Ding J et al. DOTA: a large-scale dataset for object detection in aerial images[C], 3974-3983(2018).
[30] Zhang S F, Wen L Y, Bian X et al. Single-shot refinement neural network for object detection[C], 4203-4212(2018).
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Yin Zhang, Guiyi Zhu, Tianjun Shi, Kun Zhang, Junhua Yan. Small Object Detection in Remote Sensing Images Based on Feature Fusion and Attention[J]. Acta Optica Sinica, 2022, 42(24): 2415001
Category: Machine Vision
Received: Apr. 15, 2022
Accepted: Jun. 16, 2022
Published Online: Dec. 14, 2022
The Author Email: Yan Junhua (yjh9758@126.com)