Uncertainty-DTW for Sequences and Visual Tokens 事件

Uncertainty-DTW for Sequences and Visual Tokens arXiv:2605.25110v1 Announce Type: new Abstract: Aligning structured data is a fundamental problem in computer vision and machine learning, underlying tasks such as time series analysis, human action recognition, and visual representation learning. Existing alignment methods, including Dynamic Time Warping (DTW) and its differentiable variants, rely on deterministic similarity measures and are therefore sensitive to heterogeneous and noisy features