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Models/Object-Centric-OVD

Object-Centric-OVD

Reported on 29 benchmarks across 6 tasks · 1 paper · 17 SOTA

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

Methodology20 results

  • 3DonObjects365
    mask AP50· 2022-07-07
    22.3
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 3DonOpenImages-v4
    mask AP50· 2022-07-07
    42.9
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 3DonMSCOCO
    AP· 2022-07-07
    40.5
    best: 58.8 (ScaleDet)
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D ClassificationonObjects365
    mask AP50· 2022-07-07
    22.3
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D ClassificationonOpenImages-v4
    mask AP50· 2022-07-07
    42.9
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D ClassificationonMSCOCO
    AP· 2022-07-07
    40.5
    best: 58.8 (ScaleDet)
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D Object DetectiononObjects365
    mask AP50· 2022-07-07
    22.3
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D Object DetectiononOpenImages-v4
    mask AP50· 2022-07-07
    42.9
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D Object DetectiononMSCOCO
    AP· 2022-07-07
    40.5
    best: 58.8 (ScaleDet)
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 16konObjects365
    mask AP50· 2022-07-07
    22.3
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 16konOpenImages-v4
    mask AP50· 2022-07-07
    42.9
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 16konMSCOCO
    AP· 2022-07-07
    40.5
    best: 58.8 (ScaleDet)
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 3DonLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-07-07
    21.1
    best: 43.4 (LaMI-DETR)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 3DonMSCOCO
    AP 0.5· 2022-07-07
    36.9
    best: 50.3 (Cooperative Foundational Models)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D ClassificationonLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-07-07
    21.1
    best: 43.4 (LaMI-DETR)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D ClassificationonMSCOCO
    AP 0.5· 2022-07-07
    36.9
    best: 50.3 (Cooperative Foundational Models)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-07-07
    21.1
    best: 43.4 (LaMI-DETR)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 2D Object DetectiononMSCOCO
    AP 0.5· 2022-07-07
    36.9
    best: 50.3 (Cooperative Foundational Models)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 16konLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-07-07
    21.1
    best: 43.4 (LaMI-DETR)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • 16konMSCOCO
    AP 0.5· 2022-07-07
    36.9
    best: 50.3 (Cooperative Foundational Models)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482

Computer Vision9 results

  • Object DetectiononObjects365
    mask AP50· 2022-07-07
    22.3
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • Object DetectiononOpenImages-v4
    mask AP50· 2022-07-07
    42.9
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • Object DetectiononMSCOCO
    AP· 2022-07-07
    40.5
    best: 58.8 (ScaleDet)
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • Open Vocabulary Object DetectiononObjects365
    mask AP50· 2022-07-07
    22.3
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • Open Vocabulary Object DetectiononOpenImages-v4
    mask AP50· 2022-07-07
    42.9
    SOTA
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-07-07
    21.1
    best: 43.4 (LaMI-DETR)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • Object DetectiononMSCOCO
    AP 0.5· 2022-07-07
    36.9
    best: 50.3 (Cooperative Foundational Models)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • Open Vocabulary Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2022-07-07
    21.1
    best: 43.4 (LaMI-DETR)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482
  • Open Vocabulary Object DetectiononMSCOCO
    AP 0.5· 2022-07-07
    36.9
    best: 50.3 (Cooperative Foundational Models)
    Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionarXiv:2207.03482