Laser & Optoelectronics Progress, Volume. 58, Issue 6, 610012(2021)
Small Target Detection Based on Cross-Scale Fusion Convolution Neural Network
[1] Zhao Z Q, Zheng P, Xu S T et al. Object detection with deep learning: a review[J]. IEEE Transactions on Neural Networks and Learning Systems, 30, 3212-3232(2019).
[2] Yue P Y, Xin J, Zhao H et al. Experimental research on deep reinforcement learning in autonomous navigation of mobile robot[C]. ∥2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), June 19-21, 2019, Xi'an, China., 1612-1616(2019).
[5] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA., 580-587(2014).
[6] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C]. ∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy., 2980-2988(2017).
[7] 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).
[8] Liu W, Anguelov D, Erhan D et al[2020-07-02]. SSD: single shot MultiBox detector [2020-07-02].https:∥arxiv., org/abs/1512, 02325.
[9] Redmon J, Divvala S, Girshick R et al. You only look once unified, real-time object detection[C]. ∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 779-788(2016).
[10] Redmon J, Farhadi A. YOLO9000:better, faster, stronger[C]. ∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 6517-6525(2017).
[11] Redmon J, Farhadi A. YOLOv3: an incremental improvement[EB/OL]. [2020-07-04].https:∥arxiv.org/abs/1804.02767.
[12] Bochkovskiy A, Wang C Y, Liao H Y Mark. YOLOv4: optimal speed and accuracy of object detection[EB/OL]. [2020-07-02]. http:∥arxiv.org/abs/2004.10934..
[13] Bell S, Zitnick C L, Bala K et al. Inside-outside net: detecting objects in context with skip pooling and recurrent neural networks[C]. ∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 2874-2883(2016).
[14] Mäenpää T, Pietikäinen M. Texture analysis with local binary patterns[M]. ∥Kalviainen H, Parkkinen J, Kaarna A, et al. Image Analysis. SCIA 2005. Lecture Notes in Computer Science. Cham: Springer, 3540, 115-118(2005).
[16] Wang H T, Jiang W D, Cheng Y et al. Two-stage context convolutional network for small target detection in wide-view-field images[J]. Computer Measurement & Control, 27, 199-204(2019).
[22] Dai J F, Li Y, He K M et al. R-FCN: object detection via region-based fully convolutional networks[EB/OL]. [2020-07-04].https: ∥arxiv.org/abs/1605.06409..
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Liu Feng, Guo Meng, Wang Xiangjun. Small Target Detection Based on Cross-Scale Fusion Convolution Neural Network[J]. Laser & Optoelectronics Progress, 2021, 58(6): 610012
Category: Image Processing
Received: Jul. 17, 2020
Accepted: --
Published Online: Mar. 2, 2021
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