FSTC-Encoder: Feature--Spatial--Temporal Correlation Learning for Generalizable RF Sensing
FSTC-Encoder is proposed, which unifies heterogeneous RF representation learning through feature, spatial, and temporal correlation modeling, and achieves high domain robustness, task generality, and modality extensibility.