M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization

被引:0
|
作者
Gao, Yuexiu [1 ]
Lyu, Chen [1 ]
机构
[1] Shandong Normal University, Jinan, China
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Syntactics
引用
收藏
页码:24 / 35
相关论文
共 50 条
  • [31] Multi-scale and multi-modal contrastive learning network for biomedical time series
    Guo, Hongbo
    Xu, Xinzi
    Wu, Hao
    Liu, Bin
    Xia, Jiahui
    Cheng, Yibang
    Guo, Qianhui
    Chen, Yi
    Xu, Tingyan
    Wang, Jiguang
    Wang, Guoxing
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2025, 106
  • [32] MMSNet: Multi-modal scene recognition using multi-scale encoded features
    Caglayan, Ali
    Imamoglu, Nevrez
    Nakamura, Ryosuke
    IMAGE AND VISION COMPUTING, 2022, 122
  • [33] Extractive summarization of documents with images based on multi-modal RNN
    Chen, Jingqiang
    Hai Zhuge
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 99 : 186 - 196
  • [34] Multi-scale and multi-modal imaging study of mantle xenoliths and petrological implications
    Venier, Marco
    Ziberna, Luca
    Mancini, Lucia
    Kao, Alexander P.
    Bernardini, Federico
    Roncoroni, Giacomo
    Milani, Sula
    Youbi, Nasrrddine
    Majigsuren, Yondon
    De Min, Angelo
    Lenaz, Davide
    AMERICAN MINERALOGIST, 2024, 109 (05) : 882 - 895
  • [35] Multi-Scale Features Are Effective for Multi-Modal Classification: An Architecture Search Viewpoint
    Fu, Pinhan
    Liang, Xinyan
    Qian, Yuhua
    Guo, Qian
    Zhang, Yayu
    Huang, Qin
    Tang, Ke
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2025, 35 (02) : 1070 - 1083
  • [36] Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia
    MO, United States
    不详
    MO, United States
    Proc. Appl. Imagery Pattern. Recogn. Workshop, 2021,
  • [37] MEDMCN: a novel multi-modal EfficientDet with multi-scale CapsNet for object detection
    Li, Xingye
    Liu, Jin
    Tang, Zhengyu
    Han, Bing
    Wu, Zhongdai
    JOURNAL OF SUPERCOMPUTING, 2024, 80 (09): : 12863 - 12890
  • [38] Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning
    Wang, Yang Yang
    Gaol, Ke
    Hamad, Ali
    McCarthy, Brianna
    Kloepper, Ashley M.
    Lever, Teresa E.
    Bunyak, Filiz
    2021 IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP (AIPR), 2021,
  • [39] M 2RNet: Multi-modal and multi-scale refined network for RGB-D salient object detection
    Fang, Xian
    Jiang, Mingfeng
    Zhu, Jinchao
    Shao, Xiuli
    Wang, Hongpeng
    PATTERN RECOGNITION, 2023, 135
  • [40] M3: using mask-attention and multi-scale for multi-modal brain MRI classification
    Kong, Guanqing
    Wu, Chuanfu
    Zhang, Zongqiu
    Yin, Chuansheng
    Qin, Dawei
    FRONTIERS IN NEUROINFORMATICS, 2024, 18