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Models/Organizer Provided Baseline

Organizer Provided Baseline

Reported on 72 benchmarks across 6 tasks

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

Methodology48 results

  • 3DonLVIS v1.0 test-dev
    AP
    26.86
    best: 48.58 (TestConsistency)
  • 3DonLVIS v1.0 test-dev
    AP50
    40.92
    best: 64.14 (TestConsistency)
  • 3DonLVIS v1.0 test-dev
    AP75
    28.6
    best: 51.74 (TestConsistency)
  • 3DonLVIS v1.0 test-dev
    APc
    24.9
    best: 47.91 (TestConsistency)
  • 3DonLVIS v1.0 test-dev
    APf
    31.97
    best: 52.07 (TestConsistency)
  • 3DonLVIS v1.0 test-dev
    APr
    20.41
    best: 42.52 (TestConsistency)
  • 3DonLVIS v1.0 val
    AP
    27.26
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 3DonLVIS v1.0 val
    AP50
    41.58
    best: 63.1 (best_single_model_val)
  • 3DonLVIS v1.0 val
    AP75
    28.99
    best: 51.15 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APc
    26.13
    best: 47.47 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APf
    31.95
    best: 51.44 (best_single_model_val)
  • 3DonLVIS v1.0 val
    APr
    19.47
    best: 38.91 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 test-dev
    AP
    26.86
    best: 48.58 (TestConsistency)
  • 2D ClassificationonLVIS v1.0 test-dev
    AP50
    40.92
    best: 64.14 (TestConsistency)
  • 2D ClassificationonLVIS v1.0 test-dev
    AP75
    28.6
    best: 51.74 (TestConsistency)
  • 2D ClassificationonLVIS v1.0 test-dev
    APc
    24.9
    best: 47.91 (TestConsistency)
  • 2D ClassificationonLVIS v1.0 test-dev
    APf
    31.97
    best: 52.07 (TestConsistency)
  • 2D ClassificationonLVIS v1.0 test-dev
    APr
    20.41
    best: 42.52 (TestConsistency)
  • 2D ClassificationonLVIS v1.0 val
    AP
    27.26
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 2D ClassificationonLVIS v1.0 val
    AP50
    41.58
    best: 63.1 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    AP75
    28.99
    best: 51.15 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APc
    26.13
    best: 47.47 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APf
    31.95
    best: 51.44 (best_single_model_val)
  • 2D ClassificationonLVIS v1.0 val
    APr
    19.47
    best: 38.91 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 test-dev
    AP
    26.86
    best: 48.58 (TestConsistency)
  • 2D Object DetectiononLVIS v1.0 test-dev
    AP50
    40.92
    best: 64.14 (TestConsistency)
  • 2D Object DetectiononLVIS v1.0 test-dev
    AP75
    28.6
    best: 51.74 (TestConsistency)
  • 2D Object DetectiononLVIS v1.0 test-dev
    APc
    24.9
    best: 47.91 (TestConsistency)
  • 2D Object DetectiononLVIS v1.0 test-dev
    APf
    31.97
    best: 52.07 (TestConsistency)
  • 2D Object DetectiononLVIS v1.0 test-dev
    APr
    20.41
    best: 42.52 (TestConsistency)
  • 2D Object DetectiononLVIS v1.0 val
    AP
    27.26
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 2D Object DetectiononLVIS v1.0 val
    AP50
    41.58
    best: 63.1 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    AP75
    28.99
    best: 51.15 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APc
    26.13
    best: 47.47 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APf
    31.95
    best: 51.44 (best_single_model_val)
  • 2D Object DetectiononLVIS v1.0 val
    APr
    19.47
    best: 38.91 (best_single_model_val)
  • 16konLVIS v1.0 test-dev
    AP
    26.86
    best: 48.58 (TestConsistency)
  • 16konLVIS v1.0 test-dev
    AP50
    40.92
    best: 64.14 (TestConsistency)
  • 16konLVIS v1.0 test-dev
    AP75
    28.6
    best: 51.74 (TestConsistency)
  • 16konLVIS v1.0 test-dev
    APc
    24.9
    best: 47.91 (TestConsistency)
  • 16konLVIS v1.0 test-dev
    APf
    31.97
    best: 52.07 (TestConsistency)
  • 16konLVIS v1.0 test-dev
    APr
    20.41
    best: 42.52 (TestConsistency)
  • 16konLVIS v1.0 val
    AP
    27.26
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • 16konLVIS v1.0 val
    AP50
    41.58
    best: 63.1 (best_single_model_val)
  • 16konLVIS v1.0 val
    AP75
    28.99
    best: 51.15 (best_single_model_val)
  • 16konLVIS v1.0 val
    APc
    26.13
    best: 47.47 (best_single_model_val)
  • 16konLVIS v1.0 val
    APf
    31.95
    best: 51.44 (best_single_model_val)
  • 16konLVIS v1.0 val
    APr
    19.47
    best: 38.91 (best_single_model_val)

Computer Vision24 results

  • Object DetectiononLVIS v1.0 test-dev
    AP
    26.86
    best: 48.58 (TestConsistency)
  • Object DetectiononLVIS v1.0 test-dev
    AP50
    40.92
    best: 64.14 (TestConsistency)
  • Object DetectiononLVIS v1.0 test-dev
    AP75
    28.6
    best: 51.74 (TestConsistency)
  • Object DetectiononLVIS v1.0 test-dev
    APc
    24.9
    best: 47.91 (TestConsistency)
  • Object DetectiononLVIS v1.0 test-dev
    APf
    31.97
    best: 52.07 (TestConsistency)
  • Object DetectiononLVIS v1.0 test-dev
    APr
    20.41
    best: 42.52 (TestConsistency)
  • Object DetectiononLVIS v1.0 val
    AP
    27.26
    best: 51.6 (CP-DETR-Pro(without LVIS data))
  • Object DetectiononLVIS v1.0 val
    AP50
    41.58
    best: 63.1 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    AP75
    28.99
    best: 51.15 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APc
    26.13
    best: 47.47 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APf
    31.95
    best: 51.44 (best_single_model_val)
  • Object DetectiononLVIS v1.0 val
    APr
    19.47
    best: 38.91 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 test-dev
    AP
    26.86
    best: 48.58 (TestConsistency)
  • Few-Shot Object DetectiononLVIS v1.0 test-dev
    AP50
    40.92
    best: 64.14 (TestConsistency)
  • Few-Shot Object DetectiononLVIS v1.0 test-dev
    AP75
    28.6
    best: 51.74 (TestConsistency)
  • Few-Shot Object DetectiononLVIS v1.0 test-dev
    APc
    24.9
    best: 47.91 (TestConsistency)
  • Few-Shot Object DetectiononLVIS v1.0 test-dev
    APf
    31.97
    best: 52.07 (TestConsistency)
  • Few-Shot Object DetectiononLVIS v1.0 test-dev
    APr
    20.41
    best: 42.52 (TestConsistency)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP
    27.26
    best: 47.55 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP50
    41.58
    best: 63.1 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    AP75
    28.99
    best: 51.15 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APc
    26.13
    best: 47.47 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APf
    31.95
    best: 51.44 (best_single_model_val)
  • Few-Shot Object DetectiononLVIS v1.0 val
    APr
    19.47
    best: 38.91 (best_single_model_val)