TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/OV-DQUO(RN50x4)

OV-DQUO(RN50x4)

Reported on 6 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.

Methodology4 results

  • 3DonMSCOCO
    AP 0.5· 2024-05-28
    45.6
    best: 50.3 (Cooperative Foundational Models)
    OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionarXiv:2405.17913
  • 2D ClassificationonMSCOCO
    AP 0.5· 2024-05-28
    45.6
    best: 50.3 (Cooperative Foundational Models)
    OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionarXiv:2405.17913
  • 2D Object DetectiononMSCOCO
    AP 0.5· 2024-05-28
    45.6
    best: 50.3 (Cooperative Foundational Models)
    OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionarXiv:2405.17913
  • 16konMSCOCO
    AP 0.5· 2024-05-28
    45.6
    best: 50.3 (Cooperative Foundational Models)
    OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionarXiv:2405.17913

Computer Vision2 results

  • Object DetectiononMSCOCO
    AP 0.5· 2024-05-28
    45.6
    best: 50.3 (Cooperative Foundational Models)
    OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionarXiv:2405.17913
  • Open Vocabulary Object DetectiononMSCOCO
    AP 0.5· 2024-05-28
    45.6
    best: 50.3 (Cooperative Foundational Models)
    OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionarXiv:2405.17913