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Models/test balloon 6

test balloon 6

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
    16.62
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 3DonLVIS v1.0 val
    AP50
    25.63
    best: 63.1 (best_single_model_val)
  • 3DonLVIS v1.0 val
    AP75
    17.2
    best: 51.15 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APc
    14.53
    best: 47.47 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APf
    23.9
    best: 51.44 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APr
    5.33
    best: 38.91 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    AP
    16.62
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 2D ClassificationonLVIS v1.0 val
    AP50
    25.63
    best: 63.1 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    AP75
    17.2
    best: 51.15 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APc
    14.53
    best: 47.47 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APf
    23.9
    best: 51.44 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APr
    5.33
    best: 38.91 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    AP
    16.62
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 2D Object DetectiononLVIS v1.0 val
    AP50
    25.63
    best: 63.1 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    AP75
    17.2
    best: 51.15 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APc
    14.53
    best: 47.47 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APf
    23.9
    best: 51.44 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APr
    5.33
    best: 38.91 (best_single_model_val)
  • 16konLVIS v1.0 val
    AP
    16.62
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 16konLVIS v1.0 val
    AP50
    25.63
    best: 63.1 (best_single_model_val)
  • 16konLVIS v1.0 val
    AP75
    17.2
    best: 51.15 (best_single_model_val)
  • 16konLVIS v1.0 val
    APc
    14.53
    best: 47.47 (best_single_model_val)
  • 16konLVIS v1.0 val
    APf
    23.9
    best: 51.44 (best_single_model_val)
  • 16konLVIS v1.0 val
    APr
    5.33
    best: 38.91 (best_single_model_val)

Computer Vision12 results

  • Object DetectiononLVIS v1.0 val
    AP
    16.62
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • Object DetectiononLVIS v1.0 val
    AP50
    25.63
    best: 63.1 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    AP75
    17.2
    best: 51.15 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APc
    14.53
    best: 47.47 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APf
    23.9
    best: 51.44 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APr
    5.33
    best: 38.91 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP
    16.62
    best: 47.55 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP50
    25.63
    best: 63.1 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP75
    17.2
    best: 51.15 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APc
    14.53
    best: 47.47 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APf
    23.9
    best: 51.44 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APr
    5.33
    best: 38.91 (best_single_model_val)