地质论评2023，Vol.69Issue(5)：1967-1979,13.DOI:10.16509/j.georeview.2023.07.032
基于改进原型网络的小样本古生物化石识别研究
Research on few-shot paleontological fossil identification based on improved prototype network
摘要
关键词
古生物化石识别/小样本学习/原型网络/卷积注意力机制/残差网络Key words
paleontological fossil recognition/few-shot metric learning/prototype network/convolutional block attention module/residual network引用本文复制引用
陈杰,何月顺,熊凌龙,钟海龙,张朝锋,庞振宇..基于改进原型网络的小样本古生物化石识别研究[J].地质论评,2023,69(5):1967-1979,13.基金项目
本文为国家自然科学基金资助项目(编号:41872243),江西省放射性地学大数据技术工程实验室开放基金课题(编号:JELRGBDT202203)和江西省研究生创新专项基金项目(编号:YC2022-s625)的成果.This research is supported by the National Natural Science Foundation of China project(No.41872243),an Open Fund Project of Radiological Geosciences Big Data Engineering Laboratory of Jiangxi Province(No.JELRGBDT202203),and a Graduate Innovation Special Fund Project of Jiangxi Province(No.YC2022-s625).Thank the Dr.HUANG Hao and Dr.SUN Chao reviewers for their constructive comments on this research （编号:41872243）
