[
  {
    "Accuracy": 93.8,
    "code_links": [
      {
        "title": "charlesq34/3dcnn.torch",
        "url": "https://github.com/charlesq34/3dcnn.torch"
      }
    ],
    "date": "2016-04-12",
    "date2": 20160412,
    "model": "MVCNN-MultiRes",
    "paper": {
      "title": "Volumetric and Multi-View CNNs for Object Classification on 3D Data",
      "url": "https://cknow.io/lib/6aa04e75aee120ff"
    },
    "paper_data_uoa": "6aa04e75aee120ff"
  },
  {
    "Accuracy": 88.4,
    "code_links": [
      {
        "title": "yangyanli/FPNN",
        "url": "https://github.com/yangyanli/FPNN"
      }
    ],
    "date": "2016-05-20",
    "date2": 20160520,
    "model": "FPNN (4-FCs + NF)",
    "paper": {
      "title": "FPNN: Field Probing Neural Networks for 3D Data",
      "url": "https://cknow.io/lib/957c747b433b845d"
    },
    "paper_data_uoa": "957c747b433b845d"
  },
  {
    "Accuracy": 84.5,
    "code_links": [
      {
        "title": "lorenmt/vsl",
        "url": "https://github.com/lorenmt/vsl"
      }
    ],
    "date": "2017-05-17",
    "date2": 20170517,
    "model": "Variational Shape Learner",
    "paper": {
      "title": "Learning a Hierarchical Latent-Variable Model of 3D Shapes",
      "url": "https://cknow.io/lib/75c22410f2942c9a"
    },
    "paper_data_uoa": "75c22410f2942c9a"
  }
]