model_info.json

{
  "task": "image-classification",
  "category": "vision",
  "dataset": "CIFAR-10",
  "architecture": "StrongCNN (7-layer, BatchNorm, wider channels)",
  "training": "ANN \u2192 QCFS \u2192 IF + BPTT FT (conversion + fine-tune)",
  "ann_accuracy": 80.4,
  "snn_accuracy": 74.3,
  "gap": 6.0,
  "params": 4800000,
  "size_mb": 18.3,
  "num_seeds": 1,
  "t": 16,
  "hardware_validated": "GPU, CPU",
  "nir_exportable": true,
  "status": "beta",
  "tags": [
    "vision",
    "cifar-10",
    "strongcnn",
    "classification",
    "medium"
  ],
  "description": "7-layer CNN SNN for CIFAR-10. Gap of 6% with conversion + fine-tuning. Larger gap than ResNet-18 due to higher non-linearity. Good for studying conversion challenges in medium-depth networks.",
  "note": "Single seed result. Multi-seed verification pending."
}