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Models/Detic(w/o FT)

Detic(w/o FT)

Reported on 36 benchmarks across 6 tasks · 1 paper

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

Methodology24 results

  • 3DonArtaxor
    mAP· 2022-01-07
    0.6
    best: 71.2 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 3DonDIOR
    mAP· 2022-01-07
    0.1
    best: 37.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 3DonClipark1k
    mAP· 2022-01-07
    11.4
    best: 61.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 3DonDeepFish
    mAP· 2022-01-07
    0.9
    best: 44.1 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D ClassificationonArtaxor
    mAP· 2022-01-07
    0.6
    best: 71.2 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D ClassificationonDIOR
    mAP· 2022-01-07
    0.1
    best: 37.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D ClassificationonClipark1k
    mAP· 2022-01-07
    11.4
    best: 61.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D ClassificationonDeepFish
    mAP· 2022-01-07
    0.9
    best: 44.1 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D Object DetectiononArtaxor
    mAP· 2022-01-07
    0.6
    best: 71.2 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D Object DetectiononDIOR
    mAP· 2022-01-07
    0.1
    best: 37.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D Object DetectiononClipark1k
    mAP· 2022-01-07
    11.4
    best: 61.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D Object DetectiononDeepFish
    mAP· 2022-01-07
    0.9
    best: 44.1 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 16konArtaxor
    mAP· 2022-01-07
    0.6
    best: 71.2 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 16konDIOR
    mAP· 2022-01-07
    0.1
    best: 37.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 16konClipark1k
    mAP· 2022-01-07
    11.4
    best: 61.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 16konDeepFish
    mAP· 2022-01-07
    0.9
    best: 44.1 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 3DonNEU-DET
    mAP
    0
    best: 26.1 (ETS)
  • 3DonUODD
    mAP
    0
    best: 29.8 (ETS)
  • 2D ClassificationonNEU-DET
    mAP
    0
    best: 26.1 (ETS)
  • 2D ClassificationonUODD
    mAP
    0
    best: 29.8 (ETS)
  • 2D Object DetectiononNEU-DET
    mAP
    0
    best: 26.1 (ETS)
  • 2D Object DetectiononUODD
    mAP
    0
    best: 29.8 (ETS)
  • 16konNEU-DET
    mAP
    0
    best: 26.1 (ETS)
  • 16konUODD
    mAP
    0
    best: 29.8 (ETS)

Computer Vision12 results

  • Object DetectiononArtaxor
    mAP· 2022-01-07
    0.6
    best: 71.2 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Object DetectiononDIOR
    mAP· 2022-01-07
    0.1
    best: 37.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Object DetectiononClipark1k
    mAP· 2022-01-07
    11.4
    best: 61.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Object DetectiononDeepFish
    mAP· 2022-01-07
    0.9
    best: 44.1 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Few-Shot Object DetectiononArtaxor
    mAP· 2022-01-07
    0.6
    best: 71.2 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Few-Shot Object DetectiononDIOR
    mAP· 2022-01-07
    0.1
    best: 37.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Few-Shot Object DetectiononClipark1k
    mAP· 2022-01-07
    11.4
    best: 61.5 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Few-Shot Object DetectiononDeepFish
    mAP· 2022-01-07
    0.9
    best: 44.1 (ETS)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Object DetectiononNEU-DET
    mAP
    0
    best: 26.1 (ETS)
  • Object DetectiononUODD
    mAP
    0
    best: 29.8 (ETS)
  • Few-Shot Object DetectiononNEU-DET
    mAP
    0
    best: 26.1 (ETS)
  • Few-Shot Object DetectiononUODD
    mAP
    0
    best: 29.8 (ETS)