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1-parameter-classifier

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1-parameter-classifier
File size: 1,669 Bytes
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{
  "variant": "stage_0_tight_fpr",
  "parent": "classifier.json",
  "description": "Extended-negative-dims classifier tuned for low prop-FPR. Positive dims unchanged; negative dims extended with 15 prop-correlated dims discovered via YOLO-filtered ImageNet prop-only images. See discovery/prop_specificity.json.",
  "backbone": "facebook/EUPE-ViT-B",
  "feature_dim": 768,
  "input_resolution": 768,
  "patch_size": 16,
  "patch_grid": [
    48,
    48
  ],
  "preprocessing": "layernorm over 768 channels then max-pool over 2304 patches",
  "pos_dims": [
    48,
    525,
    475,
    645,
    273,
    292,
    158,
    510,
    506,
    337,
    8,
    309,
    267,
    217,
    79,
    13,
    657,
    207,
    722,
    311
  ],
  "neg_dims_original": [
    642,
    224,
    113,
    565,
    49,
    637,
    45,
    520,
    219,
    290,
    529,
    617,
    269,
    745,
    576,
    701,
    105,
    694,
    82,
    283
  ],
  "neg_dims_extra": [
    11,
    697,
    572,
    671,
    51,
    186,
    752,
    90,
    161,
    310,
    88,
    189,
    613,
    201,
    360
  ],
  "neg_dims": [
    642,
    224,
    113,
    565,
    49,
    637,
    45,
    520,
    219,
    290,
    529,
    617,
    269,
    745,
    576,
    701,
    105,
    694,
    82,
    283,
    11,
    697,
    572,
    671,
    51,
    186,
    752,
    90,
    161,
    310,
    88,
    189,
    613,
    201,
    360
  ],
  "pos_weight": 1.0,
  "neg_weight": -1.0,
  "threshold": 10.094175338745117,
  "decision": "sum(feat[pos_dims]) - sum(feat[neg_dims]) > threshold",
  "free_parameters": 1,
  "fixed_parameters": {
    "dim_indices": 55,
    "signs": 55
  }
}