[1] LONG J, SHELHAMER E, DARRELL T. Fully convolutional networks for semantic segmentation[C], 3431-3440(2015).

[2] ZHAO H S, SHI J P, QI X J et al. Pyramid scene parsing network[C], 6230-6239(2017).

[3] LI X T, YOU A S, ZHU Z et al. Semantic Flow for Fast and Accurate Scene Parsing[M]. Computer Vision – ECCV 2020, 775-793(2020).

[4] [4] 任凤雷， 杨璐， 周海波， 等. 基于改进BiSeNet的实时图像语义分割［J］. 光学 精密工程， 2023， 31（8）： 1217-1227. doi: 10.37188/OPE.20233108.1217RENF L， YANGL， ZHOUH B， et al. Real-time semantic segmentation based on improved BiSeNet［J］. Opt. Precision Eng.， 2023， 31（8）： 1217-1227.（in Chinese）. doi: 10.37188/OPE.20233108.1217

[5] PASZKE A, CHAURASIA A, KIM S et al. ENet： a deep neural network architecture for real-time semantic segmentation[J]. ArXiv e-Prints(2016).

[6] ZHAO H S, QI X J, SHEN X Y et al. ICNet for Real-Time Semantic Segmentation on High-Resolution Images[M]. Computer Vision – ECCV 2018, 418-434(2018).

[7] LI H C, XIONG P F, FAN H Q et al. DFANet： deep feature aggregation for real-time semantic segmentation[C], 9514-9523(2019).

[8] YU C Q, WANG J B, PENG C et al[M]. BiSeNet： bilateral segmentation network for real-time semantic segmentation, 334-349(2018).

[9] FAN M Y, LAI S Q, HUANG J S et al. Rethinking BiSeNet for Real-Time semantic segmentation[C], 9711-9720(2021).

[10] HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C], 7132-7141(2018).

[11] WANG Y, ZHOU Q, LIU J et al. Lednet： a lightweight encoder-decoder network for real-time semantic segmentation[C], 1860-1864(2019).

[12] LI G, YUN I, KIM J et al. Dabnet： Depth-Wise Asymmetric Bottleneck for Real-Time Semantic Segmentation[webpage]. arXiv preprint arXiv, 1907-11357(2019). https：//arxiv. org/abs/1907.11357

[13] HE K M, ZHANG X Y, REN S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015).

[14] 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).

[15] PAN H H, HONG Y D, SUN W C et al. Deep dual-resolution networks for real-time and accurate semantic segmentation of traffic scenes[J]. IEEE Transactions on Intelligent Transportation Systems, 24, 3448-3460(2023).

[16] WANG Y P, SHI H, DONG S et al. Dual-path sparse hierarchical network for semantic segmentation of remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 19, 8010505(2021).

[17] CORDTS M, OMRAN M, RAMOS S et al. The cityscapes dataset for semantic urban scene understanding[C], 3213-3223(2016).

[18] BROSTOW G J, FAUQUEUR J, CIPOLLA R. Semantic object classes in video： a high-definition ground truth database[J]. Pattern Recognition Letters, 30, 88-97(2009).

[19] LIN P W, SUN P, CHENG G L et al. Graph-guided architecture search for real-time semantic segmentation[C], 4202-4211(2020).

[20] LI P, DONG X, YU X et al. When humans meet machines： towards efficient segmentation networks[C], 7, 2020.

[21] LI Y J, LIU Y Z, SUN Q S. Real-time semantic segmentation via region and pixel context network[C], 7043-7049(2021).

[22] NIRKIN Y, WOLF L, HASSNER T. HyperSeg： Patch-wise hypernetwork for real-time semantic segmentation[C], 4060-4069(2021).

[23] LIU J, XU X Q, SHI Y Q et al. RELAXNet： residual efficient learning and attention expected fusion network for real-time semantic segmentation[J]. Neurocomputing, 474, 115-127(2022).

[24] WU Y, JIANG J Y, HUANG Z M et al. FPANet： feature pyramid aggregation network for real-time semantic segmentation[J]. Applied Intelligence, 52, 3319-3336(2022).

[25] LI G L, LI L, ZHANG J W. BiAttnNet： bilateral attention for improving real-time semantic segmentation[J]. IEEE Signal Processing Letters, 29, 46-50(2021).

[26] XU G A, LI J C, GAO G W et al. Lightweight real-time semantic segmentation network with efficient transformer and CNN[J]. IEEE Transactions on Intelligent Transportation Systems, 24, 15897-15906(2023).

[27] MI A Z, GAO M M, HUO Z Q et al. Semantics recalibration and detail enhancement network for real-time semantic segmentation[J]. IET Computer Vision, 17, 461-472(2023).

[28] YU C Q, GAO C X, WANG J B et al. BiSeNet V2： bilateral network with guided aggregation for real-time semantic segmentation[J]. International Journal of Computer Vision, 129, 3051-3068(2021).

[29] CHEN W Y, GONG X Y, LIU X M et al. FasterSeg： searching for faster real-time semantic segmentation[webpage]. arXiv, 1912-10917(2019). http：//arxiv.org/abs/1912.10917

[30] LIAO Y H, HE L H, DENG Y J et al. Cross guided and pyramid aggregation networks for real-time semantic segmentation[C], 3307-3312(2022).

[31] TSAI T H, TSENG Y W. BiSeNet V3： Bilateral segmentation network with coordinate attention for real-time semantic segmentation[J]. Neurocomputing, 532, 33-42(2023).

[32] ZHANG Y H, QIU Z F, LIU J G et al. Customizable architecture search for semantic segmentation[C], 11633-11642(2019).

[33] ELHASSAN M A M, HUANG C X, YANG C H et al. DSANet： dilated spatial attention for real-time semantic segmentation in urban street scenes[J]. Expert Systems with Applications, 183, 115090(2021).

[34] PEI Y, SUN B, LI S T. Multifeature selective fusion network for real-time driving scene parsing[J]. IEEE Transactions on Instrumentation and Measurement, 70, 5008412(2021).