References
Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks. In: Proceedings of Advances in Neural Information Processing Systems, Lake Tahoe, 2012. 1097–1105
Ren S Q, He K M, Girshick R B, et al. Faster R-CNN: towards real-time object detection with region proposal networks. In: Proceedings of Advances in Neural Information Processing Systems, Montreal, 2015. 91–99
Liu W, Anguelov D, Erhan D, et al. SSD: single shot multibox detector. In: Proceedings of European Conference on Computer Vision, Amsterdam, 2016. 21–37
Lin T Y, Dollár P, Girshick R B, et al. Feature pyramid networks for object detection. In: Proceedings of Computer Vision and Pattern Recognition, Honolulu, 2017. 936–944
Zhao J P, Guo W W, Zhang Z H, et al. A coupled convolutional neural network for small and densely clustered ship detection in SAR images. Sci China Inf Sci, 2019, 62: 042301
Zhu Z, Liang D, Zhang S H, et al. Traffic-sign detection and classification in the wild. In: Proceedings of Computer Vision and Pattern Recognition, Las Vegas, 2016. 2110–2118
Everingham M, van Gool L, Williams C K I, et al. The pascal visual object classes (VOC) challenge. Int J Comput Vis, 2010, 88: 303–338
Lin T Y, Maire M, Belongie S J, et al. Microsoft COCO: common objects in context. In: Proceedings of European Conference on Computer Vision, Zurich, 2014. 740–755
Acknowledgements
This work was supported by National Natural Science Foundation of China (Grant Nos. 61822701, 61672469, 61772474, 61802351, 61872324).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Cui, L., Ma, R., Lv, P. et al. MDSSD: multi-scale deconvolutional single shot detector for small objects. Sci. China Inf. Sci. 63, 120113 (2020). https://doi.org/10.1007/s11432-019-2723-1
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11432-019-2723-1