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  • title: Space-time Mixing Attention for Video Transformer
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            Space-time Mixing Attention for Video Transformer
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            Space-time Mixing Attention for Video Transformer

            6. prosince 2021

            Řečníci

            AB

            Adrian Bulat

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            JP

            Juan-Manuel Pérez-Rúa

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            SS

            Swathikiran Sudhakaran

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            O prezentaci

            This paper is on video recognition using Transformers. Very recent attempts in this area have demonstrated promising results in terms of recognition accuracy, yet they have been also shown to induce, in many cases, significant computational overheads due to the additional modelling of the temporal information. In this work, we propose a Video Transformer model the complexity of which scales linearly with the number of frames in the video sequence and hence induces no overhead compared to an imag…

            Organizátor

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            NeurIPS 2021

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            O organizátorovi (NeurIPS 2021)

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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