The following publications are possibly variants of this publication:
- Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)Yao Hu, Wei Zhou, Guohua Geng, Kang Li, Xingxing Hao, Xin Cao 0004. csae 2021: [doi]
- AMS-Net: An Attention-Based Multi-Scale Network for Classification of 3D Terracotta Warrior FragmentsJie Liu, Xin Cao 0004, Pingchuan Zhang, Xueli Xu, Yangyang Liu, Guohua Geng, Fengjun Zhao, Kang Li, Mingquan Zhou. remotesensing, 13(18):3713, 2021. [doi]
- Classification of 3D Terracotta Warrior Fragments Based on Deep Learning and Template GuidanceHongjuan Gao, Guohua Geng. access, 8:4086-4098, 2020. [doi]
- Classifying fragments of terracotta warriors using template-based partial matchingGuoguang Du, Mingquan Zhou, Congli Yin, Zhongke Wu, Wuyang Shui. mta, 77(15):19171-19191, 2018. [doi]
- Classification of 3D terracotta warriors fragments based on geospatial and texture informationKang Yang, Xin Cao 0004, Guohua Geng, Kang Li, Mingquan Zhou. jvis, 24(2):251-259, 2021. [doi]
- SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point CloudXiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu 0007. eccv 2022: 263-279 [doi]