FSTC-Encoder: Feature--Spatial--Temporal Correlation Learning for Generalizable RF Sensing

arXiv:2608.08439 · cs.LG, cs.AI · Submitted 2026-08-09 · Read on arXiv

Jing Wang, Zhu Wang, Changlong Cheng, Yifan Guo, Yin Zhang

cs.LG, cs.AI

Submitted: 2026-08-09

Updated: 2026-08-11

Comments: 9 pages, 2 figures, and 6 tables. Submitted to the 41st AAAI Conference on Artificial Intelligence (AAAI 2027)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 15× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Generalization — 6× in this paper · explained in 14 episodes
• Representation Learning — 6× in this paper · explained in 3 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 6 episodes
• Localization — 3× in this paper · explained in 2 episodes
• Modality Gap — 3× in this paper · explained in 6 episodes
• Cross-Domain Generalization — 2× in this paper · explained in 3 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Domain Shift — 2× in this paper · explained in 7 episodes
• Performance Gap — 2× in this paper · explained in 2 episodes
• Temporal Correlations — 2× in this paper · explained in 2 episodes
• Transformers — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Composition — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Equivariance — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Knowledge Distillation — 1× in this paper · explained in 15 episodes
• Motion Source Recognition — 1× in this paper
• Multimodal Fusion — 1× in this paper · explained in 4 episodes
• Permutation Equivariance — 1× in this paper · explained in 2 episodes
• Transformer Model — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 3 episodes
• Unsupervised Learning — 1× in this paper · explained in 2 episodes

Sources

• COMPASS: Fusion-Matched Supervision for Missing-Modality Human Sensing
• Purify-then-Align: Towards Robust Human Sensing under Modality Missing with Knowledge Distillation from Noisy Multimodal Teacher
• Talk is Not Always Cheap: Promoting Wireless Sensing Models with Text Prompts

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