[
    {
        "Variant name": "main",
        "Reviewer name": "Nicolas Bonneel <nicolas.bonneel@liris.cnrs.fr>",
        "Is master variant (boolean)": true,
        "Is variant deprecated (boolean)": false,
        "Title": "RAID: A Relation-Augmented Image Descriptor",
        "DOI": "10.1145/2897824.2925939",
        "Year": 2016,
        "ACM Keywords": [
            "Shape analysis"
        ],
        "Topic {Rendering, Animation and Simulation, Geometry, Images, Virtual Reality, Fabrication}": "Images",
        "Co-authors from academia (boolean)": true,
        "Co-authors from industry (boolean)": false,
        "ACM Open Access (boolean)": true,
        "PDF on the authors' webpage / institution (boolean)": true,
        "PDF URL": "https://geometry.cs.ucl.ac.uk/projects/2016/image-relationships/paper_docs/GuerreroEtAl_RAID_SIGG16.pdf",
        "PDF on Arxiv or any openarchive initiatives (boolean)": true,
        "Arxiv/OAI page URL": "https://arxiv.org/abs/1510.01113",
        "Project URL": "https://geometry.cs.ucl.ac.uk/projects/2016/image-relationships/",
        "Code available (boolean)": true,
        "If code not available, pseudo-code available (boolean)": false,
        "If pseudo-code, could the paper be trivially implemented? {0..4}": "",
        "Code URL": "http://bitbucket.org/paulguerrero/raid",
        "Code URL2": "",
        "MD5 sum (for archives)": "6499539BE436312A65E3A9FF1F98F6F7",
        "git/hg/svn commit hash or revision number": "3decf589f2b520012bfc0b59fff649e13380c1a1",
        "MD5 sum (for archives) URL2": "",
        "git/hg/svn commit hash or revision number URL2": "",
        "Software Heritage permalink": "https://archive.softwareheritage.org/swh:1:rev:3decf589f2b520012bfc0b59fff649e13380c1a1;origin=https://bitbucket.org/paulguerrero/raid.git/",
        "Software type {Code, Binary, Partial Code}": "Code",
        "Code License (if any)": "unspecified",
        "Are the code authors explicit? (boolean)": false,
        "Build/Configure mechanism": "Not applicable (python, Matlab..)",
        "Dependencies": "matlab",
        "Does the software require paywall/proprietary software/material (boolean)?": true,
        "Does the code need data (not examples) (boolean)": true,
        "Nature of the data (pretrained model, LUT...)": "Training data",
        "License of the data": "",
        "Able to perform a replicability test (boolean)": true,
        "If not able to perform a test, was it due to missing hardware/software? (boolean)": false,
        "Documentation score {0=NA,1,2,3}": 1,
        "Dependencies score {0=NA, 1,2,3,4,5}": 5,
        "Build/configure score {0=NA, 1,2,3,4,5}": 5,
        "Fixing bugs score (if any) {0=NA, 1,2,3,4,5}": 0,
        "Replicate paper results score {0=NA, 1,2,3,4,5}": 5,
        "Adaptability score to other contexts {0=NA, 1,2,3,4,5}": 5,
        "Time spent for the test (code download to first successful run, [0,10], 10min slots, 100min max)": 1,
        "Operating system for the test": "Windows",
        "Build instructions/comments": "The code runs very easily (tested on Matlab 2018a) and I managed to get very similar results as those shown in the teaser by drawing a similar sketch as the one in the teaser.",
        "Misc. comments": "",
        "Software language": "Matlab / Mathematica / .."
    }
]