MST-HDQ: Multi-Scale temporal hash discriminative quantization for wearable sensor sequence recognition
MST-HDQ, a compact sequence-code learning framework that co-designs a sensor-aware large-kernel temporal encoder, wearable-sequence hierarchical attentive aggregation, a hash-discriminative quantization head, and a class-robust training objective, is proposed.