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Models/Semantic-Aware Scene Recognition (ResNet-18)

Semantic-Aware Scene Recognition (ResNet-18)

Reported on 8 benchmarks across 4 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

  • Scene ParsingonPlaces365
    Top 1 Accuracy· 2019-09-05
    56.51
    best: 60.14 (FOSNet)
    Semantic-Aware Scene RecognitionarXiv:1909.02410
  • Scene ParsingonPlaces365
    Top 5 Accuracy· 2019-09-05
    86
    best: 88.86 (FOSNet)
    Semantic-Aware Scene RecognitionarXiv:1909.02410
  • AnimationonPlaces365
    Top 1 Accuracy· 2019-09-05
    56.51
    best: 60.14 (FOSNet)
    Semantic-Aware Scene RecognitionarXiv:1909.02410
  • AnimationonPlaces365
    Top 5 Accuracy· 2019-09-05
    86
    best: 88.86 (FOSNet)
    Semantic-Aware Scene RecognitionarXiv:1909.02410
  • 3D Character Animation From A Single PhotoonPlaces365
    Top 1 Accuracy· 2019-09-05
    56.51
    best: 60.14 (FOSNet)
    Semantic-Aware Scene RecognitionarXiv:1909.02410
  • 3D Character Animation From A Single PhotoonPlaces365
    Top 5 Accuracy· 2019-09-05
    86
    best: 88.86 (FOSNet)
    Semantic-Aware Scene RecognitionarXiv:1909.02410

Audio2 results

  • 2D Semantic SegmentationonPlaces365
    Top 1 Accuracy· 2019-09-05
    56.51
    best: 60.14 (FOSNet)
    Semantic-Aware Scene RecognitionarXiv:1909.02410
  • 2D Semantic SegmentationonPlaces365
    Top 5 Accuracy· 2019-09-05
    86
    best: 88.86 (FOSNet)
    Semantic-Aware Scene RecognitionarXiv:1909.02410