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/CenterFormer

CenterFormer

Reported on 24 benchmarks across 6 tasks · 1 paper · 18 SOTA

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

Methodology16 results

  • 3Donwaymo cyclist
    APH/L2· 2022-09-12
    73.3
    best: 78 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 3Donwaymo vehicle
    APH/L2· 2022-09-12
    73.8
    best: 75.76 (PillarNeXt)
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 3Donwaymo pedestrian
    APH/L2· 2022-09-12
    75
    best: 76.4 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 2D Classificationonwaymo cyclist
    APH/L2· 2022-09-12
    73.3
    best: 78 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 2D Classificationonwaymo vehicle
    APH/L2· 2022-09-12
    73.8
    best: 75.76 (PillarNeXt)
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 2D Classificationonwaymo pedestrian
    APH/L2· 2022-09-12
    75
    best: 76.4 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 2D Object Detectiononwaymo cyclist
    APH/L2· 2022-09-12
    73.3
    best: 78 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 2D Object Detectiononwaymo vehicle
    APH/L2· 2022-09-12
    73.8
    best: 75.76 (PillarNeXt)
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 2D Object Detectiononwaymo pedestrian
    APH/L2· 2022-09-12
    75
    best: 76.4 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 16konwaymo cyclist
    APH/L2· 2022-09-12
    73.3
    best: 78 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 16konwaymo vehicle
    APH/L2· 2022-09-12
    73.8
    best: 75.76 (PillarNeXt)
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 16konwaymo pedestrian
    APH/L2· 2022-09-12
    75
    best: 76.4 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 3DonWaymo Open Dataset
    mAPH/L2· 2022-09-12
    68.9
    best: 74 (LION)
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 2D ClassificationonWaymo Open Dataset
    mAPH/L2· 2022-09-12
    68.9
    best: 74 (LION)
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 2D Object DetectiononWaymo Open Dataset
    mAPH/L2· 2022-09-12
    68.9
    best: 74 (LION)
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 16konWaymo Open Dataset
    mAPH/L2· 2022-09-12
    68.9
    best: 74 (LION)
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588

Computer Vision8 results

  • Object Detectiononwaymo cyclist
    APH/L2· 2022-09-12
    73.3
    best: 78 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • Object Detectiononwaymo vehicle
    APH/L2· 2022-09-12
    73.8
    best: 75.76 (PillarNeXt)
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • Object Detectiononwaymo pedestrian
    APH/L2· 2022-09-12
    75
    best: 76.4 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 3D Object Detectiononwaymo cyclist
    APH/L2· 2022-09-12
    73.3
    best: 78 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 3D Object Detectiononwaymo vehicle
    APH/L2· 2022-09-12
    73.8
    best: 75.76 (PillarNeXt)
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 3D Object Detectiononwaymo pedestrian
    APH/L2· 2022-09-12
    75
    best: 76.4 (DSVT(val))
    SOTA
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • Object DetectiononWaymo Open Dataset
    mAPH/L2· 2022-09-12
    68.9
    best: 74 (LION)
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588
  • 3D Object DetectiononWaymo Open Dataset
    mAPH/L2· 2022-09-12
    68.9
    best: 74 (LION)
    CenterFormer: Center-based Transformer for 3D Object DetectionarXiv:2209.05588