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Frame-based training #36

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Jay-IPL opened this issue Jan 12, 2023 · 1 comment
Open

Frame-based training #36

Jay-IPL opened this issue Jan 12, 2023 · 1 comment

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@Jay-IPL
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Jay-IPL commented Jan 12, 2023

Hi authors~ I noticed in your paper you mentioned you put the temporal dimension into the batch dimension and extract visual features independently. Thus, I think the whole model is frame-based training except when using video-swin as the backbone. Is my understanding right?
@iseunghoon
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Hi authors~ I noticed in your paper you mentioned you put the temporal dimension into the batch dimension and extract visual features independently. Thus, I think the whole model is frame-based training except when using video-swin as the backbone. Is my understanding right?

I agree with your point. Aside from Video Swin, there is no fusion along the temporal axis, right?"

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@Jay-IPL @iseunghoon