Detection and Recognition Method of Marine Target Based on S4-YOLO

ZHAOWen-qiang; SUNWei

OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 18, Issue 4, 38(2020)

ZHAOWen-qiang^* and SUNWei

Author Affiliations

[in Chinese]

show less

References(12)

[1] [1] Dalal N，Triggs B. Histograms of oriented gradients for human detection［C］. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition，2005：886-893.

[2] [2] Lowe D G. Distinctive image features from scale-invariant key points［J］. International Journal of Computer Vision，2004，60（2）：911-110.

[3] [3] Hearst M A，Dumais S T，Osuna E，et al. Support vector machines［J］. IEEE Intelligent Systems and Their Application. 1998，13（4）：18-28.

[6] [6] Lecun Y，Bengio Y，Hinton G. Deep learning［J］. Nature，2015，521（7553）：436-444.

[7] [7] Liu W，Anguelov D，Erhan D，et al. SSD：Single shot multibox detector［C］. Proceedings of 14th European Conference on Computer Vision，2016：21-37.

[8] [8] Ren S，He K，Girshick R，et al. Faster R-CNN：Towards real-time object detection with region proposal networks［C］. Advances in Neural Information Processing Systems，2015：91-99.

[9] [9] Redmon J，Divvala S，Girshick R，et al. You only look once：Unified，real-time object detection［C］. Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition，2016：779-788.

[10] [10] Redmon J，Farhadi A. YOLO9000：Better，faster，stronger［C］. Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition，2017：6517-6525.

[20] [20] Redmon J，Farhadi A. YOLOv3：An incremental improvement［C］. Proceedings of 2018 IEEE Conference on Computer Vision and Pattern Recognition，2018：1-6.

[21] [21] He K，Zhang X，Ren S，et al. Deep residual learning for image recognition［C］. Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition，2016：770-778.

[22] [22] Deng J，Dong W，Socher R，et al. Imagenet：A large-scale hierarchical image database［C］. Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition，2009：248-255.

[23] [23] Lin T Y，Maire M，Belongie S，et al. Microsoft Coco：Common objects in context［C］. Proceedings of 13th European Conference on Computer Vision，2014：740-755.