1 |
罗艾娜,郑骏. 基于深度神经网络的复杂光照下的蓝藻图片语义分割[J]. 计算机应用与软件, 2018, 35(4):254-259. 10.3969/j.issn.1000-386x.2018.04.047
|
|
LUO A N, ZHENG J. Semantic segmentation of cyanobacteria pictures based on DCNN under complicated illumination[J]. Computer Applications and Software, 2018, 35(4):254-259. 10.3969/j.issn.1000-386x.2018.04.047
|
2 |
杨朔,陈丽芳,石瑀,等. 基于深度生成式对抗网络的蓝藻语义分割[J]. 计算机应用, 2018, 38(6):1554-1561. 10.11772/j.issn.1001-9081.2017122872
|
|
YANG S, CHEN L F, SHI Y, et al. Semantic segmentation of blue-green algae based on deep generative adversarial net[J]. Journal of Computer Applications, 2018, 38(6):1554-1561. 10.11772/j.issn.1001-9081.2017122872
|
3 |
李国进,姚冬宜,艾矫燕,等. 基于改进Faster R-CNN的水面漂浮物识别与定位[J]. 信阳师范学院学报(自然科学版), 2021, 34(2):292-299.
|
|
LI G J, YAO D Y, AI J Y, et al. Detection and localization of floating objects via improved Faster R-CNN[J]. Journal of Xinyang Normal University (Natural Science Edition), 2021, 34(2):292-299.
|
4 |
ZHAO R Y, WANG J H, ZHENG X, et al. Maritime visible image classification based on double transfer method[J]. IEEE Access, 2020, 8: 166335-166346. 10.1109/access.2020.3022883
|
5 |
邹宜洋. 基于卷积神经网络的船舶识别跟踪技术研究[D]. 大连:大连海事大学, 2020:68-88.
|
|
ZOU Y J. Research on ship identification and tracking technology based on convolutional neural network[D]. Dalian: Dalian Maritime University, 2020: 68-88.
|
6 |
涂昊,刁云峰,程文明,等. 基于深度学习的实时集装箱箱号识别算法[J]. 起重运输机械, 2021(13):58-63. 10.3969/j.issn.1001-0785.2021.13.018
|
|
TU H, DIAO Y F, CHENG W M, et al. Real-time container number recognition algorithm based on deep learning[J]. Hoisting and Conveying Machinery, 2021(13):58-63. 10.3969/j.issn.1001-0785.2021.13.018
|
7 |
LONG J, SHELHAMER E, DARRELL T. Fully convolutional networks for semantic segmentation[C]// Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2015: 3431-3440. 10.1109/cvpr.2015.7298965
|
8 |
RONNEBERGER O, FISCHER P, BROX T. U-Net: convolutional networks for biomedical image segmentation[C]// Proceedings of the 2015 International Conference on Medical Image Computing and Computer-Assisted Intervention, LNCS 9351. Cham: Springer, 2015: 234-241.
|
9 |
HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C]// Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2018: 7132-7141. 10.1109/cvpr.2018.00745
|
10 |
WOO S, PARK J, LEE J Y, et al. CBAM: convolutional block attention module[C]// Proceedings of the 2018 European Conference on Computer Vision, LNCS 11211. Cham: Springer, 2018: 3-19.
|
11 |
LI X, WANG W H, HU X L, et al. Selective kernel networks[C]// Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2019: 510-519. 10.1109/cvpr.2019.00060
|
12 |
YU F, KOLTUN V. Multi-scale context aggregation by dilated convolutions [EB/OL]. (2016-04-30) [2021-08-11]. .
|
13 |
CHEN L C, PAPANDREOU G, SCHROFF F, et al. Rethinking atrous convolution for semantic image segmentation [EB/OL]. (2017-12-05) [2021-08-15].. 10.1007/978-3-030-01234-2_49
|
14 |
WANG P Q, CHEN P F, YUAN Y, et al. Understanding convolution for semantic segmentation[C]// Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision. Piscataway: IEEE, 2018: 1451-1460. 10.1109/wacv.2018.00163
|
15 |
TAO A, SPARA K, CATANZARO B. Hierarchical multi-scale attention for semantic segmentation[J]. (2020-05-21) [2021-08-15].. 10.48550/arXiv.2005.10821
|
16 |
HADSELL R, CHOPRA S, LeCUN Y. Dimensionality reduction by learning an invariant mapping[C]// Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2006: 1735-1742. 10.1109/cvpr.2006.9
|
17 |
WU C Y, MANMATHA R, SMOLA A J, et al. Sampling matters in deep embedding learning[C]// Proceedings of the 2017 IEEE International Conference on Computer Vision. Piscataway: IEEE, 2017: 2859-2867. 10.1109/iccv.2017.309
|
18 |
MILLETARI F, NAVAB N, AHMADI S A. V-Net: fully convolutional neural networks for volumetric medical image segmentation[C]// Proceedings of the 4th International Conference on 3D Vision. Piscataway: IEEE, 2016: 565-571. 10.1109/3dv.2016.79
|
19 |
KLINE D M, BERARDI V L. Revisiting squared-error and cross-entropy functions for training neural network classifiers[J]. Neural Computing and Applications, 2005, 14(4): 310-318. 10.1007/s00521-005-0467-y
|
20 |
BADRINARAYANAN V, KENDALL A, CIPOLLA R. SegNet: a deep convolutional encoder-decoder architecture for image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(12): 2481-2495. 10.1109/tpami.2016.2644615
|