Deeper SSD: Simultaneous Up-sampling and Down-sampling for Drone Detection |
Sun, Han
(College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics)
Geng, Wen (College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics) Shen, Jiaquan (College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics) Liu, Ningzhong (College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics) Liang, Dong (College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics) Zhou, Huiyu (School of Informatics, University of Leicester) |
1 | D. G. Lowe, "Object recognition from local scale-invariant features," in Proc. of the Seventh IEEE International Conference on Computer Vision on Computer Vision, vol. 99, no. 2, pp. 1150-1157, 1999. |
2 | N. Dalal, B. Triggs, and C. Schmid, "Human detection using oriented histograms of flow and appearance," in Proc. of European conference on computer vision, pp. 428-441, 2006. |
3 | T. Mita, T. Kaneko, and O. Hori, "Joint haar-like features for face detection," in Proc. of Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, vol. 2, pp. 1619-1626, 2005. |
4 | J. Cho, S. Mirzaei, J. Oberg, and R. Kastner, "Fpga-based face detection system using haar classifiers," in Proc. of the ACM/SIGDA international symposium on Field programmable gate arrays, pp. 103-112, 2009. |
5 | R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation," in Proc. of the IEEE conference on computer vision and pattern recognition, pp. 580-587, 2014. |
6 | R. Girshick, "Fast r-cnn," in Proc. of the IEEE international conference on computer vision, pp. 1440-1448, 2015. |
7 | S. Ren, K. He, R. Girshick, and J. Sun, "Faster r-cnn: Towards realtime object detection with region proposal networks," Advances in neural information processing systems, pp. 91-99, 2015. |
8 | K. He, G. Gkioxari, P. Dolla'r, and R. Girshick, "Mask r-cnn," in Proc. of the IEEE international conference on computer vision, pp. 2980-2988, 2017. |
9 | Z. Cai and N. Vasconcelos, "Cascade r-cnn: Delving into high quality object detection," in Proc. of the IEEE conference on computer vision and pattern recognition, pp. 6154-6162, 2018. |
10 | Y. Wu, Y. Chen, L. Yuan, Z. Liu, L. Wang, H. Li, and Y. Fu, "Rethinking Classification and Localization for Object Detection," in Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10183-10195, 2020. |
11 | J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You only look once: Unified, real-time object detection," in Proc. of the IEEE conference on computer vision and pattern recognition, pp. 779- 788, 2016. |
12 | J. Redmon and A. Farhadi, "Yolo9000: better, faster, stronger," in Proc. of the IEEE conference on computer vision and pattern recognition, pp. 6517-6525, 2017. |
13 | J. Redmon and A. Farhadi, "Yolov3: An incremental improvement," arXiv preprint arXiv:1804.02767, 2018. |
14 | A. Bochkovskiy, C. Y. Wang, and H. Y. M. Liao, "YOLOv4: Optimal Speed and Accuracy of Object Detection," arXiv preprint arXiv:2004.10934, 2020. |
15 | W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Y. Fu, and A. C. Berg, "SSD: Single shot multibox detector," in Proc. of European conference on computer vision, vol. 9905, pp. 21-37, 2016. |
16 | P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun, "Overfeat: Integrated recognition, localization and detection using convolutional networks," arXiv preprint arXiv:1312.6229, 2013. |
17 | C.Y. Fu, W. Liu, A. Ranga, A. Tyagi, and A. C. Berg, "Dssd: Deconvolutional single shot detector," arXiv preprint arXiv:1701.06659, 2017. |
18 | K. He, X. Zhang, S. Ren, and J. Sun, "Spatial pyramid pooling in deep convolutional networks for visual recognition," IEEE transactions on pattern analysis and machine intelligence, vol. 37, no. 9, pp. 1904-1916, 2015. DOI |
19 | T. Kong, A. Yao, Y. Chen, and F. Sun, "Hypernet: Towards accurate region proposal generation and joint object detection," in Proc. of the IEEE conference on computer vision and pattern recognition, pp. 845-853, 2016. |
20 | Z. Tian, C. Shen, H. Chen, and T. He, "Fcos: Fully convolutional one-stage object detection," in Proc. of the IEEE international conference on computer vision, pp. 9627-9636, 2019. |
21 | K. Duan, S. Bai, L. Xie, H. Qi, Q. Huang, and Q. Tian, "Centernet: Keypoint triplets for object detection," in Proc. of the IEEE International Conference on Computer Vision, pp. 6569-6578, 2019. |
22 | J. Wang, K. Chen, S. Yang, C. C. Loy, and D. Lin, "Region proposal by guided anchoring," in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2960-2969, 2019. |
23 | K. Tong, Y. Wu, and F. Zhou, "Recent advances in small object detection based on deep learning: A review," Image and Vision Computing, vol. 97, 2020. |
24 | S. Qi, J. Ma, C. Tao, C. Yang, and J. Tian, "A robust directional saliency-based method for infrared small-target detection under various complex backgrounds," IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 3, pp. 495-499, 2012. DOI |
25 | G. Cao, X. Xie, W. Yang, Q. Liao, G. Shi, and J. Wu, "Feature-fused SSD: fast detection for small objects," in Proc. of Ninth International Conference on Graphic and Image Processing (ICGIP 2017), vol. 10615, p. 106151, 2018. |
26 | I. El-Naqa, Y. Yang, M. N. Wernick, N. P. Galatsanos, and R. Nishikawa, "Support vector machine learning for detection of microcalcifications in mammograms," in Proc. of IEEE International Symposium on Biomedical Imaging, pp. 201-204, 2002. |
27 | Y. Lu, T. Javidi, and S. Lazebnik, "Adaptive object detection using adjacency and zoom prediction," in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2351-2359, 2016. |
28 | A. Van Etten, "You only look twice: Rapid multi-scale object detection in satellite imagery," arXiv preprint arXiv:1805.09512, 2018. |
29 | A. Radford, L. Metz, and S. Chintala, "Unsupervised representation learning with deep convolutional generative adversarial networks," arXiv preprint arXiv:1511.06434, 2015. |
30 | J. Li, X. Liang, Y. Wei, T. Xu, J. Feng, and S. Yan, "Perceptual generative adversarial networks for small object detection," in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1951-1959, 2017. |
31 | M. Xu, L. Cui, P. Lv, X. Jiang, J. Niu, B. Zhou, and M. Wang, "MSSSD: Multi-scale deconvolutional single shot detector for small objects," arXiv preprint arXiv:1805.07009, 2018. |
32 | Z. Chen, D. Crandall, and R. Templeman, "Detecting small, densely distributed objects with filteramplifier networks and loss boosting," arXiv preprint arXiv:1802.07845, 2018. |
33 | K. Fu, J. Li, L. Ma, K. Mu, and Y Tian, "Intrinsic Relationship Reasoning for Small Object Detection," arXiv preprint arXiv:2009.00833, 2020. |
34 | A. Rozantsev, V. Lepetit, and P. Fua, "Detecting flying objects using a single moving camera," IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 5, pp. 879-892, 2016. DOI |
35 | Z. Liu, G. Gao, L. Sun, and Z. Fang, "HRDNet: High-resolution Detection Network for Small Objects," arXiv preprint arXiv:2006.07607, 2020. |
36 | F. Zhang, L. Jiao, L. Li, F. Liu, and X. Liu, "MultiResolution Attention Extractor for Small Object Detection," arXiv preprint arXiv:2006.05941, 2020. |
37 | Y. Wu, Y. Sui, and G. Wang, "Vision-based real-time aerial object localization and tracking for uav sensing system," IEEE Access, vol. 5, pp. 23969-23978, 2017. DOI |
38 | Y. Chen, P. Aggarwal, J. Choi, and C. C. Jay, "A deep learning approach to drone monitoring," in Proc. of 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) IEEE, pp. 686-691, 2017. |
39 | C. Aker and S. Kalkan, "Using deep networks for drone detection," in Proc. of 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 1-6, 2017. |
40 | H. Sun, J. Yang, J. Shen, D. Liang, L. Ning-Zhong, and H. Zhou, "TIB-Net: Drone Detection Network with Tiny Iterative Backbone," IEEE Access, vol. 8, pp. 130697-130707, 2020. DOI |
41 | Y. Hu, X. Wu, G. Zheng, and X. Liu, "Object detection of UAV for antiUAV based on improved YOLO v3," in Proc. of China Control Conference (CCC), pp. 8386-8390, 2019. |
![]() |