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{
    "pk": 27935,
    "title": "Deep Convolutional Networks do not Perceive Illusory Contours",
    "subtitle": null,
    "abstract": "Deep learning networks have shown impressive performance\nin object recognition. We used the classification image method\nto probe whether a deep learning model employs the same\nfeatures as humans in perceiving real and illusory contours. We\nadopted a deep learning network, pre-trained with natural\nimages, and retrained the decision layer with laboratory stimuli\nto perform shape discrimination in the “fat/thin” task. We\ntested the network with real and illusory contour stimuli\ncontaminated with luminance noise. We found that deep\nnetworks trained on natural images can be readily adapted to\ndiscriminate between psychophysical stimuli with an\nextremely high degree of accuracy. However, deep learning\nnetworks do not appear to represent illusory contours where\nthey may aid performance in the fat/thin task, a process\nautomatically performed in human vision. This divergence\nindicates an important difference between the kinds of visual\nrepresentations formed by deep networks and by humans.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Deep learning"
        },
        {
            "word": "contour interpolation"
        },
        {
            "word": "classification images"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6fj2c7k2",
    "frozenauthors": [
        {
            "first_name": "Nicholas",
            "middle_name": "",
            "last_name": "Baker",
            "name_suffix": "",
            "institution": "UCLA",
            "department": ""
        },
        {
            "first_name": "Gennady",
            "middle_name": "",
            "last_name": "Erlikhman",
            "name_suffix": "",
            "institution": "University of Nevada, Reno",
            "department": ""
        },
        {
            "first_name": "Philip",
            "middle_name": "",
            "last_name": "Kellman",
            "name_suffix": "",
            "institution": "UCLA",
            "department": ""
        },
        {
            "first_name": "Hongjing",
            "middle_name": "",
            "last_name": "Lu",
            "name_suffix": "",
            "institution": "UCLA",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27935/galley/17573/download/"
        }
    ]
}