REMAP: Regularized Matching and Partial Alignment of Video Embeddings

arXiv:2509.24382v2 Announce Type: replace-cross Abstract: Real-world instructional videos are long, noisy, and often contain extended background segments, repeated actions, and execution variability that do not correspond to meaningful procedural steps. We propose **REMAP**, an unsupervised...