DyCo-CL reports a 6.27% accuracy improvement in 1-shot AMR on RML benchmarks via geometry-aware contrastive learning, VAA, semantic consistency, a Signal-Adaptive Swin Backbone, and Hybrid Knowledge Fusion.
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Geometry-Aware Contrastive Learning for Few-Shot Automatic Modulation Recognition
DyCo-CL reports a 6.27% accuracy improvement in 1-shot AMR on RML benchmarks via geometry-aware contrastive learning, VAA, semantic consistency, a Signal-Adaptive Swin Backbone, and Hybrid Knowledge Fusion.