[1] Yang K H, She C W, Zhang W et al. Multi-label learning based on transfer learning and label correlation[J]. Computers, Materials & Continua, 61, 155-169(2019).

[2] Zhang A W, Liu L L, Zhang X Z. Multi-Feature 3D Road Point Cloud Semantic Segmentation Method Based on Convolutional Neural Network[J]. Chinese Journal of Lasers, 47, 0410001(2020).

[3] Li W J, Gai S Y, Yu J, Da F P. Absolute Phase Recovery of Single Frame Composite Image Based on Convolutional Neural Network[J]. Acta Optica Sinica, 41, 2312001(2021).

[4] Chen Y, Guo H G, Ai Y P. Single image dehazing method based on multi-scale convolution neural network[J]. Acta Optica Sinica, 39, 1010001(2019).

[5] Yuan K, Huo L. Multiple-Scale Inpainting Convolutional Neural Network for Retinal OCT Image Segmentation[J]. Chinese Journal of Lasers, 48, 1507004(2021).

[6] Wang H B, Xiao S, Qu J H et al. Pansharpening based on multi-branch CNN[J]. Acta Optica Sinica, 41, 0710001(2021).

[7] Li R. Research on cross language web information retrieval method based on semantic graph model[J]. Journal of Zhoukou Normal University, 37, 100-103(2020).

[8] Liu X L, Liu B S, Wang Y Y et al. Research and development of multi-label generation based on deep learning[J]. Computer Science, 47, 192-199(2020).

[9] Li F, Yang Y L. Multi-label classification algorithm based on label-specific features and label correlation[J]. Computer Engineering and Applications, 55, 48-55(2019).

[10] Huang Y W, Wan C L, Feng H. Multi-feature fusion human behavior recognition algorithm based on convolutional neural network and long short term memory neural network[J]. Laser & Optoelectronics Progress, 56, 071505(2019).

[11] Luo J Q, He B, Ou Y et al. Topic-based label distribution learning to exploit label ambiguity for scene classification[J]. Neural Computing and Applications, 33, 16181-16196(2021).

[12] Liu Y S, Chen W Y, Qu H et al. Weakly supervised image classification and pointwise localization with graph convolutional networks[J]. Pattern Recognition, 109, 107596(2021).

[13] Chen B Z, Li J X, Lu G M et al. Label co-occurrence learning with graph convolutional networks for multi-label chest X-ray image classification[J]. IEEE Journal of Biomedical and Health Informatics, 24, 2292-2302(2020).

[14] He T, Jin X M. Image emotion distribution learning with graph convolutional networks[C], 382-390(2019).

[15] Xie K Z, Wei Z Q, Huang L et al. Graph convolutional networks with attention for multi-label weather recognition[J]. Neural Computing and Applications, 33, 11107-11123(2021).

[16] Wang J G, He J, Pang D W. Point cloud classification and segmentation network based on dynamic graph convolutional network[J]. Laser & Optoelectronics Progress, 58, 1215008(2021).

[17] Yun J J, Hu Y L, Sun Y F et al. Survey of small object detection methods based on deep learning[J]. Journal of Beijing University of Technology, 47, 293-302(2021).

[18] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[19] Ou G J, Yu G X, Domeniconi C et al. Multi-label zero-shot learning with graph convolutional networks[J]. Neural Networks, 132, 333-341(2020).

[20] Liao W L, Yu Y, Wang Y S et al. Reactive power optimization of distribution network based on graph convolutional network[J]. Power System Technology, 45, 2150-2160(2021).

[21] Mu J P, Cai J, Yu M C et al. Label-correlation based multi-label classification algorithm with label-specific features[J]. Application Research of Computers, 37, 2656-2658, 2673(2020).

[22] Wang J, Yang Y, Mao J H et al. CNN-RNN: a unified framework for multi-label image classification[C], 2285-2294(2016).

[23] Chen T S, Wang Z X, Li G B et al. Recurrent attentional reinforcement learning for multi-label image recognition[EB/OL]. https://arxiv.org/abs/1712.07465

[24] Chen Z M, Wei X S, Wang P et al. Multi-label image recognition with graph convolutional networks[C], 5172-5181(2019).

[25] Lü B, Liu Y X, Ye S Z et al. Convolutional-neural-network-based sewer defect detection in videos captured by CCTV[J]. Bulletin of Surveying and Mapping, 103-108(2019).

[26] Ma Z C, Chen S C. Expand globally, shrink locally: discriminant multi-label learning with missing labels[J]. Pattern Recognition, 111, 107675(2021).