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Models/MEAA

MEAA

Reported on 15 benchmarks across 5 tasks

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

Methodology12 results

  • 3DonWatercolor2k
    MAP· uses extra data
    55.5
    best: 72.2 (TADP)
  • 3DonClipart1k
    MAP· uses extra data
    41.1
    best: 69.8 (H2FA R-CNN (clipart_all))
  • 3DonCityscapes-to-Foggy Cityscapes
    mAP
    40.5
  • 2D ClassificationonWatercolor2k
    MAP· uses extra data
    55.5
    best: 72.2 (TADP)
  • 2D ClassificationonClipart1k
    MAP· uses extra data
    41.1
    best: 69.8 (H2FA R-CNN (clipart_all))
  • 2D ClassificationonCityscapes-to-Foggy Cityscapes
    mAP
    40.5
  • 2D Object DetectiononWatercolor2k
    MAP· uses extra data
    55.5
    best: 72.2 (TADP)
  • 2D Object DetectiononClipart1k
    MAP· uses extra data
    41.1
    best: 69.8 (H2FA R-CNN (clipart_all))
  • 2D Object DetectiononCityscapes-to-Foggy Cityscapes
    mAP
    40.5
  • 16konWatercolor2k
    MAP· uses extra data
    55.5
    best: 72.2 (TADP)
  • 16konClipart1k
    MAP· uses extra data
    41.1
    best: 69.8 (H2FA R-CNN (clipart_all))
  • 16konCityscapes-to-Foggy Cityscapes
    mAP
    40.5

Computer Vision3 results

  • Object DetectiononWatercolor2k
    MAP· uses extra data
    55.5
    best: 72.2 (TADP)
  • Object DetectiononClipart1k
    MAP· uses extra data
    41.1
    best: 69.8 (H2FA R-CNN (clipart_all))
  • Object DetectiononCityscapes-to-Foggy Cityscapes
    mAP
    40.5