[1] Jiang F, Gu Q, Hao H Z et al. Survey on content-based image segmentation methods[J]. Journal of Software, 28, 160-183(2017).

[2] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C], 3431-3440(2015).

[3] 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, 39, 2481-2495(2017).

[4] Zhao H S, Shi J P, Qi X J et al. Pyramid scene parsing network[C], 6230-6239(2017).

[5] Chen L C, Papandreou G, Kokkinos I et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 834-848(2018).

[6] Cai Y, Huang X G, Zhang Z A et al. Real-time semantic segmentation algorithm based on feature fusion technology[J]. Laser & Optoelectronics Progress, 57, 021011(2020).

[7] Chen Y P, Fan H Q, Xu B et al. Drop an octave: reducing spatial redundancy in convolutional neural networks with octave convolution[C], 3434-3443(2019).

[8] Avenash R, Viswanath P. Semantic segmentation of satellite images using a modified CNN with Hard-Swish activation function[C](2017).

[9] Mei S P. Public garbage classification system based on MobileNetV3[D](2020).

[10] Niu X M, Lü X Q, Gu Y et al. Breast cancer histopathological image classification based on improved ResNeXt[J]. Laser & Optoelectronics Progress, 57, 221021(2020).

[11] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).

[12] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions[C], 15523970(2015).

[13] Zhang H, Cisse M, Dauphin Y N et al. Mixup: beyond empirical risk minimization[EB/OL]. https://arxiv.org/abs/1710.09412

[14] Everingham M, Gool L, Williams C K I et al. The pascal visual object classes (VOC) challenge[J]. International Journal of Computer Vision, 88, 303-338(2010).

[15] Ma Z H, Gao H J, Lei T. Semantic segmentation algarithm based on enhanced feature fusion decoder[J]. Computer Engineering, 46, 254-258, 266(2020).

[16] Costa D, Madeira H, Carreira J et al. Xception™: a software implemented fault injection tool[M]. Benso A, Prinetto P. Fault injection techniques and tools for embedded systems reliability evaluation. Frontiers in electronic testing, 23, 125-139(2003).