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Models/Detic

Detic

Reported on 24 benchmarks across 6 tasks · 1 paper · 12 SOTA

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

Methodology16 results

  • 3DonOpenImages-v4
    AP 0.5· 2022-01-07
    42.2
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 3DonOpenImages-v4
    mask AP50· 2022-01-07
    42.2
    best: 42.9 (Object-Centric-OVD)
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D ClassificationonOpenImages-v4
    AP 0.5· 2022-01-07
    42.2
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D ClassificationonOpenImages-v4
    mask AP50· 2022-01-07
    42.2
    best: 42.9 (Object-Centric-OVD)
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D Object DetectiononOpenImages-v4
    AP 0.5· 2022-01-07
    42.2
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D Object DetectiononOpenImages-v4
    mask AP50· 2022-01-07
    42.2
    best: 42.9 (Object-Centric-OVD)
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 16konOpenImages-v4
    AP 0.5· 2022-01-07
    42.2
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 16konOpenImages-v4
    mask AP50· 2022-01-07
    42.2
    best: 42.9 (Object-Centric-OVD)
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 3DonLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-01-07
    17.8
    best: 43.4 (LaMI-DETR)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 3DonMSCOCO
    AP 0.5· 2022-01-07
    27.8
    best: 50.3 (Cooperative Foundational Models)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D ClassificationonLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-01-07
    17.8
    best: 43.4 (LaMI-DETR)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D ClassificationonMSCOCO
    AP 0.5· 2022-01-07
    27.8
    best: 50.3 (Cooperative Foundational Models)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-01-07
    17.8
    best: 43.4 (LaMI-DETR)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 2D Object DetectiononMSCOCO
    AP 0.5· 2022-01-07
    27.8
    best: 50.3 (Cooperative Foundational Models)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 16konLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-01-07
    17.8
    best: 43.4 (LaMI-DETR)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • 16konMSCOCO
    AP 0.5· 2022-01-07
    27.8
    best: 50.3 (Cooperative Foundational Models)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605

Computer Vision8 results

  • Object DetectiononOpenImages-v4
    AP 0.5· 2022-01-07
    42.2
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Object DetectiononOpenImages-v4
    mask AP50· 2022-01-07
    42.2
    best: 42.9 (Object-Centric-OVD)
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Open Vocabulary Object DetectiononOpenImages-v4
    AP 0.5· 2022-01-07
    42.2
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Open Vocabulary Object DetectiononOpenImages-v4
    mask AP50· 2022-01-07
    42.2
    best: 42.9 (Object-Centric-OVD)
    SOTA
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-01-07
    17.8
    best: 43.4 (LaMI-DETR)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Object DetectiononMSCOCO
    AP 0.5· 2022-01-07
    27.8
    best: 50.3 (Cooperative Foundational Models)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Open Vocabulary Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-01-07
    17.8
    best: 43.4 (LaMI-DETR)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605
  • Open Vocabulary Object DetectiononMSCOCO
    AP 0.5· 2022-01-07
    27.8
    best: 50.3 (Cooperative Foundational Models)
    Detecting Twenty-thousand Classes using Image-level SupervisionarXiv:2201.02605