广西民族大学学报（自然科学版）2026，Vol.32Issue(1)：18-29,85,13.
基于残差网络双数据增强的贺兰山动物岩画分类研究
Classification of Helan Mountain Animal Rock Art Based on Residual Network with Dual Data Augmentation
摘要
Abstract
As As prehistoric non-textual historical records,Helan Mountain rock art bears the profound cultural memories of northern nomadic peoples,and its classification and organization are the fundamental prerequisites for interpreting its cultural connotations and social connections.To address the classification difficulties caused by severe weathering,morphological similarity between categories,and the subjective limitations of manual interpretation in traditional classification methods of Helan Mountain animal rock art,and under the challenges of small sample sizes and high inter-class similarity of rock art images,this paper systematically validates the effectiveness of a synergistic augmentation strategy combining RandAugment and CutMix/MixUp in the study of specific rock art images,and provides a reference for model selection and hyperparameter configuration.With four typical types of animal rock art in Helan Mountain-cattle,sheep,deer,and tigers-selected as research objects,ResNet18 is first determined as the optimal backbone network through hyperparameter optimization and model depth comparison.Subsequently,a dual augmentation strategy is introduced to expand sample diversity and enhance local feature extraction.Experimental results indicate that an average F1 score of 95.73%is achieved on the test set,which shows a significant improvement in classification accuracy compared to the baseline model.The performance is superior to ResNet10 and ResNet50,and the confusion between similar species such as sheep and deer is effectively resolved.This study demonstrates the application potential of deep learning technology in the organization of prehistoricnon-textual historical materials,and provides effective methodological support for the construction of large-scale,standar dized digital archives and digital protection of rock art.关键词
贺兰山岩画/深度学习/残差网络/数据增强/图像分类Key words
Helan Mountain rock art/Deep learning/Residual network/Data augmentation/Image classification分类
社会科学引用本文复制引用
王蓉,束锡红..基于残差网络双数据增强的贺兰山动物岩画分类研究[J].广西民族大学学报（自然科学版）,2026,32(1):18-29,85,13.基金项目
教育部哲学社会科学研究重大课题攻关项目(22JZD032) （22JZD032）
教育部人文社会科学研究青年基金项目(24YJCZH047). （24YJCZH047）
