REMAP applies regularized fused partial Gromov-Wasserstein optimal transport to align video embeddings for unsupervised procedure learning on noisy instructional videos.
It is defined as: F= PN n=1 tn k tnv N (A14) wheret n k andt n v denote the durations of key-steps and the full video for thenth instance, respectively
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REMAP: Regularized Matching and Partial Alignment of Video Embeddings
REMAP applies regularized fused partial Gromov-Wasserstein optimal transport to align video embeddings for unsupervised procedure learning on noisy instructional videos.