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Models/BALMS

BALMS

Reported on 10 benchmarks across 5 tasks · 1 paper

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

Methodology6 results

  • Generalized Few-Shot ClassificationonPlaces-LT
    Top-1 Accuracy· 2020-07-21
    38.7
    best: 53.7 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740
  • Generalized Few-Shot ClassificationonImageNet-LT
    Top-1 Accuracy· 2020-07-21
    41.8
    best: 82.9 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740
  • Long-tail LearningonPlaces-LT
    Top-1 Accuracy· 2020-07-21
    38.7
    best: 53.7 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740
  • Long-tail LearningonImageNet-LT
    Top-1 Accuracy· 2020-07-21
    41.8
    best: 82.9 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740
  • Generalized Few-Shot LearningonPlaces-LT
    Top-1 Accuracy· 2020-07-21
    38.7
    best: 53.7 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740
  • Generalized Few-Shot LearningonImageNet-LT
    Top-1 Accuracy· 2020-07-21
    41.8
    best: 82.9 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740

Computer Vision4 results

  • Image ClassificationonPlaces-LT
    Top-1 Accuracy· 2020-07-21
    38.7
    best: 53.7 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740
  • Image ClassificationonImageNet-LT
    Top-1 Accuracy· 2020-07-21
    41.8
    best: 82.9 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740
  • Few-Shot Image ClassificationonPlaces-LT
    Top-1 Accuracy· 2020-07-21
    38.7
    best: 53.7 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740
  • Few-Shot Image ClassificationonImageNet-LT
    Top-1 Accuracy· 2020-07-21
    41.8
    best: 82.9 (LIFT (ViT-L/14))
    Balanced Meta-Softmax for Long-Tailed Visual RecognitionarXiv:2007.10740