{
  "library_name": "torch-pointcloud",
  "name": "act.scanobjectnn-objonly.runpei-dong",
  "task": "classification",
  "hparams": {
    "in_channels": 0,
    "num_classes": 15,
    "embed_dim": 384,
    "depth": 12,
    "num_heads": 6,
    "num_groups": 128,
    "group_size": 32,
    "encoder_local_channels": [
      128,
      256
    ],
    "encoder_global_channels": [
      512
    ],
    "pos_embed_channels": [
      128
    ],
    "drop_path": 0.1,
    "dropout": 0.5,
    "act": "gelu",
    "spatial_dim": 3
  },
  "input_keys": [
    "x",
    "pos",
    "batch"
  ],
  "dataset": "scanobjectnn-objonly",
  "metrics": {
    "OA": 91.22,
    "mAcc": 90.26
  },
  "classes": [
    "bag",
    "bin",
    "box",
    "cabinet",
    "chair",
    "desk",
    "display",
    "door",
    "shelf",
    "table",
    "bed",
    "pillow",
    "sink",
    "sofa",
    "toilet"
  ],
  "author": "runpei-dong",
  "license": "MIT"
}