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Models/EfficientNetLite + keypoint regressor

EfficientNetLite + keypoint regressor

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

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

Methodology16 results

  • 3DonGoogle Objectron
    Average Precision at 0.5 3D IoU· 2020-12-18
    0.6512
    best: 0.7218 (Lin2021)
    SOTA
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 2D ClassificationonGoogle Objectron
    Average Precision at 0.5 3D IoU· 2020-12-18
    0.6512
    best: 0.7218 (Lin2021)
    SOTA
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 2D Object DetectiononGoogle Objectron
    Average Precision at 0.5 3D IoU· 2020-12-18
    0.6512
    best: 0.7218 (Lin2021)
    SOTA
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 16konGoogle Objectron
    Average Precision at 0.5 3D IoU· 2020-12-18
    0.6512
    best: 0.7218 (Lin2021)
    SOTA
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 3DonGoogle Objectron
    AP at 10' Elevation error· 2020-12-18
    0.8584
    best: 0.6658 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 3DonGoogle Objectron
    AP at 15' Azimuth error· 2020-12-18
    0.7844
    best: 0.5088 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 3DonGoogle Objectron
    MPE· 2020-12-18
    0.0467
    best: 0.1001 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 2D ClassificationonGoogle Objectron
    AP at 10' Elevation error· 2020-12-18
    0.8584
    best: 0.6658 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 2D ClassificationonGoogle Objectron
    AP at 15' Azimuth error· 2020-12-18
    0.7844
    best: 0.5088 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 2D ClassificationonGoogle Objectron
    MPE· 2020-12-18
    0.0467
    best: 0.1001 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 2D Object DetectiononGoogle Objectron
    AP at 10' Elevation error· 2020-12-18
    0.8584
    best: 0.6658 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 2D Object DetectiononGoogle Objectron
    AP at 15' Azimuth error· 2020-12-18
    0.7844
    best: 0.5088 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 2D Object DetectiononGoogle Objectron
    MPE· 2020-12-18
    0.0467
    best: 0.1001 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 16konGoogle Objectron
    AP at 10' Elevation error· 2020-12-18
    0.8584
    best: 0.6658 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 16konGoogle Objectron
    AP at 15' Azimuth error· 2020-12-18
    0.7844
    best: 0.5088 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 16konGoogle Objectron
    MPE· 2020-12-18
    0.0467
    best: 0.1001 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988

Computer Vision8 results

  • Object DetectiononGoogle Objectron
    Average Precision at 0.5 3D IoU· 2020-12-18
    0.6512
    best: 0.7218 (Lin2021)
    SOTA
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 3D Object DetectiononGoogle Objectron
    Average Precision at 0.5 3D IoU· 2020-12-18
    0.6512
    best: 0.7218 (Lin2021)
    SOTA
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • Object DetectiononGoogle Objectron
    AP at 10' Elevation error· 2020-12-18
    0.8584
    best: 0.6658 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • Object DetectiononGoogle Objectron
    AP at 15' Azimuth error· 2020-12-18
    0.7844
    best: 0.5088 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • Object DetectiononGoogle Objectron
    MPE· 2020-12-18
    0.0467
    best: 0.1001 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 3D Object DetectiononGoogle Objectron
    AP at 10' Elevation error· 2020-12-18
    0.8584
    best: 0.6658 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 3D Object DetectiononGoogle Objectron
    AP at 15' Azimuth error· 2020-12-18
    0.7844
    best: 0.5088 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988
  • 3D Object DetectiononGoogle Objectron
    MPE· 2020-12-18
    0.0467
    best: 0.1001 (MobilePose)
    Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsarXiv:2012.09988