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Spatial-Temporal Sequence Attention Based Efficient Transformer for Video Snow Removal

Tao Gao Qianxi Zhang Ting Chen Yuanbo Wen

大数据挖掘与分析(英文版)2025,Vol.8Issue(3):551-562,12.
大数据挖掘与分析(英文版)2025,Vol.8Issue(3):551-562,12.DOI:10.26599/BDMA.2024.9020061

Spatial-Temporal Sequence Attention Based Efficient Transformer for Video Snow Removal

Spatial-Temporal Sequence Attention Based Efficient Transformer for Video Snow Removal

Tao Gao 1Qianxi Zhang 2Ting Chen 2Yuanbo Wen2

作者信息

  • 1. School of Data Science and Artificial Intelligence,Chang'an University,Xi'an 710064,China
  • 2. School of Information Engineering,Chang'an University,Xi'an 710064,China
  • 折叠

摘要

关键词

video restoration/vision Transformer/window attention/computer vision/neural representation

Key words

video restoration/vision Transformer/window attention/computer vision/neural representation

引用本文复制引用

Tao Gao,Qianxi Zhang,Ting Chen,Yuanbo Wen..Spatial-Temporal Sequence Attention Based Efficient Transformer for Video Snow Removal[J].大数据挖掘与分析(英文版),2025,8(3):551-562,12.

基金项目

This work was supported by the National R&D Program of China(No.2023YFB2504703),National Natural Science Foundation of China(Nos.52441205 and 52172379),and Shaanxi International S&T Cooperation Program Project(No.2024GH-YBXM-24). (No.2023YFB2504703)

大数据挖掘与分析(英文版)

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