BLADE: ReliaBle Dynamic Hardware-Aware SNN-ANN Boundary SeLection for Event-BAseD Object DEtection
Researchers introduced BLADE, a reliability-aware boundary selection methodology for dynamic hybrid SNN-ANN networks. BLADE jointly optimizes the SNN-ANN boundary and ANN early-exit configuration for reliability, detection accuracy, execution time, and energy consumption. The framework incorporates reliability through hierarchical statistical fault injection during design-space exploration.
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