Addressing spatial indistinguishability in spatiotemporal prediction via optimal transport-guided masking
STOT is a self-supervised framework that resolves spatiotemporal ambiguity via structured masking guided by optimal transport and a similarity-aware metric for dynamic inter-node relationships and an optimal transport-based masking strategy to emphasize ambiguous positions during pre-training.
Guang-Yu Wang, Jia-Wei Tong
· Pattern Recognition · 0 citations