自动化学报2023，Vol.49Issue(9)：1976-1988,13.DOI:10.16383/j.aas.c220715
基于重组性高斯自注意力的视觉Transformer
Vision Transformer Based on Reconfigurable Gaussian Self-attention
摘要
关键词
Transformer/局部自注意力/混合高斯权重重组/图像分类/目标检测Key words
Transformer/local self-attention/Gaussian weight recombination(GWR)/image classification/objec-tion detection引用本文复制引用
赵亮,周继开..基于重组性高斯自注意力的视觉Transformer[J].自动化学报,2023,49(9):1976-1988,13.基金项目
国家自然科学基金(51209167,12002251),陕西省自然科学基金(2019JM-474),陕西省岩土与地下空间工程重点实验室开放基金(YT202004),陕西省教育厅服务地方专项计划(22JC043)资助Supported by National Natural Science Foundation of China(51209167,12002251),Natural Science Foundation of Shaanxi Province(2019JM-474),Open Fund Project of Key Laboratory of Geotechnical and Underground Space Engineering in Shaanxi Province(YT202004),and Shaanxi Provincial Department of Education Service Local Special Plan Project(22JC043) （51209167,12002251）
