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/htc

htc

Reported on 36 benchmarks across 6 tasks

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

Methodology24 results

  • 3DonLVIS v1.0 val
    AP
    39.05
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 3DonLVIS v1.0 val
    AP50
    54.79
    best: 63.1 (best_single_model_val)
  • 3DonLVIS v1.0 val
    AP75
    42.14
    best: 51.15 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APc
    39.25
    best: 47.47 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APf
    43.73
    best: 51.44 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APr
    27.91
    best: 38.91 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    AP
    39.05
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 2D ClassificationonLVIS v1.0 val
    AP50
    54.79
    best: 63.1 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    AP75
    42.14
    best: 51.15 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APc
    39.25
    best: 47.47 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APf
    43.73
    best: 51.44 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APr
    27.91
    best: 38.91 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    AP
    39.05
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 2D Object DetectiononLVIS v1.0 val
    AP50
    54.79
    best: 63.1 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    AP75
    42.14
    best: 51.15 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APc
    39.25
    best: 47.47 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APf
    43.73
    best: 51.44 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APr
    27.91
    best: 38.91 (best_single_model_val)
  • 16konLVIS v1.0 val
    AP
    39.05
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 16konLVIS v1.0 val
    AP50
    54.79
    best: 63.1 (best_single_model_val)
  • 16konLVIS v1.0 val
    AP75
    42.14
    best: 51.15 (best_single_model_val)
  • 16konLVIS v1.0 val
    APc
    39.25
    best: 47.47 (best_single_model_val)
  • 16konLVIS v1.0 val
    APf
    43.73
    best: 51.44 (best_single_model_val)
  • 16konLVIS v1.0 val
    APr
    27.91
    best: 38.91 (best_single_model_val)

Computer Vision12 results

  • Object DetectiononLVIS v1.0 val
    AP
    39.05
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • Object DetectiononLVIS v1.0 val
    AP50
    54.79
    best: 63.1 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    AP75
    42.14
    best: 51.15 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APc
    39.25
    best: 47.47 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APf
    43.73
    best: 51.44 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APr
    27.91
    best: 38.91 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP
    39.05
    best: 47.55 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP50
    54.79
    best: 63.1 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP75
    42.14
    best: 51.15 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APc
    39.25
    best: 47.47 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APf
    43.73
    best: 51.44 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APr
    27.91
    best: 38.91 (best_single_model_val)