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【論文紹介】Fashion Style in 128 Floats: Joint Ranking and Classification using Weak Data for Feature Extraction (CVPR 2016)

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  • Fashion Style in 128 Floats: Joint Ranking and Classification using Weak Data for Feature Extraction

    , Ph.D. http://www.hirokatsukataoka.net/

    Edgar Simo-Serra and Hiroshi Ishikawa, CVPR2016

  • StyleNet

    (CNN)Triplet

    1281/32

    Web

  • StyleNet 128 () ()

  • ()

    ImageNet [Deng+, CVPR09]

    PlaceNet [Zhou+, NIPS14]

    Fashion144k [Simo-Serra+, CVPR15] Paperdoll

    [Yamaguchi+, ICCV13]

  • ()

    [Kiapour+, ECCV14]

    [Liu+, CVPR16]

  • () FaceNet 128 Triplets ()

    [Schroff+, CVPR15]

  • FaceNet

  • +

    1. (ImageNet)

    2.

    3. Triplets+

    Triplets: (I) (I+) (I-) 3

  • Triplet I I I+ I-

    Intersection over Union (IoU)

  • +

    Triplets

    X, y

  • I+ I-d+, d- ((2)(3)) (4)

  • f-

  • Fashion 144k &Hipster Wars dataset, Fashion 144k

  • @Hipster Wars dataset SiameseNet VGGNet

  • @Hipster Wars dataset Top1 ~ 3

  • @Fashion 144k dataset

  • Visualization [Zeiler & Fergus, ECCV14]

    Zeiler & Fergus, Visualizing and understanding convolutional networks, in ECCV, 2014.

  • 1282 2t-SNE t-SNEpythonsklearn

  • StyleNet Triplet 128SIFT