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Revenue Recognition Methods

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Preview of RubiksNet: Learnable 3D Shift for Efficient Video Action Recognition
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RubiksNet: Learnable 3D Shift for Efficient Video Action Recognition (eccv20.pdf)

3.08 MBEN 17 pages
RubiksNet is an efficient architecture for video action recognition that replaces temporal convolutions with a learnable 3D spatiotemporal shift operation, reducing computational cost while maintaining accuracy
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