[1] Ren G H, Ban X Y. The symbolic significance and unique charm of chinese bronzes[N]. Chinese Social Sciences Today.

[2] Jiao Q J, Jin Y Y, Liu Y G et al. Module structure detection of oracle characters with similar semantics[J]. Alexandria Engineering Journal, 60, 4819-4828(2021).

[3] Luo T Y, Wang H Q, Wang K et al. Small sample bronze inscription classification algorithm based on morphological features[J]. Laser & Optoelectronics Progress, 60, 0410011(2023).

[4] Xia G Q, Shang Z H. Bronze inscription recognition method based on automatic pruning strategy[J]. Laser & Optoelectronics Progress, 57, 161025(2020).

[5] Li X X. Research and implementation of management and recognition system of Shang and Zhou dynastites broze inscription[D](2015).

[6] Cui Q. A study on multilingual ancient character symbol recognition in natural scenes based on deep learning[D](2018).

[7] Wu Y C, Yin F, Liu C L. Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models[J]. Pattern Recognition, 65, 251-264(2017).

[8] Li W Y, Cao B, Cao C S et al. A deep learning based method for bronze inscription recognition[J]. Acta Automatica Sinica, 44, 2023-2030(2018).

[9] Liu X T, Zhao M L, Wang G R et al. Research on unsupervised clustering method of Korean ancient book character images based on DeepCluster[J]. Journal of Yanbian University (Natural Science Edition), 49, 183-188(2023).

[10] Jiang L. Research of ancient Chinese character image clustering based on BIRCH and imoroved k-medoids algorithm[D], 20-28(2012).

[11] Lorbeer B, Kosareva A, Deva B et al. Variations on the clustering algorithm BIRCH[J]. Big Data Research, 11, 1144-1153(2018).

[12] Qian Y H, Cheng Z W, Li F J et al. Research on image deep clustering algorithm under neighbor consistency strategy[J/OL], 1-10. http://kns.cnki.net/kcms/detail/14.1105.N.20240605.0845.002.html

[13] Zhao J B, Li W B, Ou W C et al. Positioning and decoding of absolute grating rulers based on end-to-end deep learning framework[J]. Laser & Optoelectronics Progress, 61, 1712005(2024).

[14] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[EB/OL]. https://arxiv.org/abs/1807.06521v2

[15] Geng S S, Li J G. Person re-identification based on multi-feature fusion of dynamic convolution and attention[J]. Computer Engineering and Design, 44, 1228-1234(2023).

[16] Ikotun A M, Ezugwu A E, Abualigah L et al. K-means clustering algorithms: a comprehensive review, variants analysis, and advances in the era of big data[J]. Information Sciences, 622, 178-210(2023).

[17] Niu C, Zhang J, Wang G et al. GATCluster: self-supervised gaussian-attention network for image clustering[M]. Computer vision-ECCV 2020, 12370, 735-751(2020).

[18] Zhang Y M, Xu M, Li X D. A multi-label remote sensing image retrieval method based on attention mechanism and soft matching[J]. Computer Applications and Software, 41, 181-185, 199(2024).

[19] Wang L L, Chen X Y, Xiong W et al. Research on gesture recognition and classification based on attention mechanism[C], 1617-1621(2022).

[20] Liu X, Chen C M, Deng H et al. Point cloud classification and segmentation network based on topological awareness and channel attention[J]. Laser & Optoelectronics Progress, 61, 2415007(2024).

[21] Fan Y Z. Shang and Zhou dynasty bronze inscriptions and early Chinese calligraphy art[J]. The World of Chinese Painting & Calligraphy, 68-75(2005).

[22] Yan H. A study on the calligraphic style of inscriptions on three artifacts of king of Zhongshan from the Warring States period[D](2015).