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Models/Soft-IoU + EM-Merger unit

Soft-IoU + EM-Merger unit

Reported on 7 benchmarks across 6 tasks · 1 paper · 7 SOTA

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

Methodology4 results

  • 3DonSKU-110K
    AP· 2019-04-01
    49.2
    best: 59 (RetailDet)
    SOTA
    Precise Detection in Densely Packed ScenesarXiv:1904.00853
  • 2D ClassificationonSKU-110K
    AP· 2019-04-01
    49.2
    best: 59 (RetailDet)
    SOTA
    Precise Detection in Densely Packed ScenesarXiv:1904.00853
  • 2D Object DetectiononSKU-110K
    AP· 2019-04-01
    49.2
    best: 59 (RetailDet)
    SOTA
    Precise Detection in Densely Packed ScenesarXiv:1904.00853
  • 16konSKU-110K
    AP· 2019-04-01
    49.2
    best: 59 (RetailDet)
    SOTA
    Precise Detection in Densely Packed ScenesarXiv:1904.00853

Computer Vision3 results

  • Object CountingonCARPK
    MAE· 2019-04-01
    6.77
    best: 2.12 (HLCNN)
    SOTA
    Precise Detection in Densely Packed ScenesarXiv:1904.00853
  • Object CountingonCARPK
    RMSE· 2019-04-01
    8.52
    best: 3.02 (HLCNN)
    SOTA
    Precise Detection in Densely Packed ScenesarXiv:1904.00853
  • Object DetectiononSKU-110K
    AP· 2019-04-01
    49.2
    best: 59 (RetailDet)
    SOTA
    Precise Detection in Densely Packed ScenesarXiv:1904.00853