LAMV: Learning to align and match videos with kernelized temporal layers - Facebook Research

This paper considers a learnable approach for comparing and aligning videos. Our architecture builds upon and revisits temporal match kernels within neural networks: we propose a new temporal layer that finds temporal alignments by maximizing the scores between two sequences of vectors, according to a time-sensitive similarity metric parametrized in the Fourier domain.

19 Jun 2018 ... Abstract · Copy Link · Share in Twitter · Share in Facebook ...

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