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News/VideoSEMA: a scalable and efficient Mamba-like attention for video understanding
arxiv
PublishedJuly 18, 2026 at 4:00 AM
▲bullish

VideoSEMA: a scalable and efficient Mamba-like attention for video understanding

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.14711v1 Announce Type: cross Abstract: We present for video understanding (classification) a split space-time attention model, VideoSEMA, consisting of a scalable and efficient Mamba-like attention (SEMA) block in space and a softmax temporal attention in time. In each frame, SEMA attenti

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Discussion
Mentioned models
03
  • 01
    VideoSEMA
  • 02
    Mamba
  • 03
    VideoMamba
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#video understanding#attention models#computer vision#benchmark

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Mentioned models
03
  • 01
    VideoSEMA
  • 02
    Mamba
  • 03
    VideoMamba
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#video understanding#attention models#computer vision#benchmark

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