Sub-10MB Quantized Vision Architectures for Low-Compute Tactical Edge and Field Surveillance
Sub-10MB (9.42MB) quantized multi-task neural architectures using mixed INT8/INT4 quantization-aware training, second-order Hessian structured channel pruning, and temporal feature caching (TFC-Mem) delivering 42.4 FPS on sub-15W edge TPU/ARM nodes. Concurrently executes weapon detection, crowd surge dynamics (∇ · v), monocular DJ height infraction estimation, and sub-millisecond POI facial vector matching in denied field environments.
