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Models/Difficulty-Net

Difficulty-Net

Reported on 15 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.

Methodology9 results

  • Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=50)
    Error Rate· 2022-09-07
    43.1
    best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
    Error Rate· 2022-09-07
    34.78
    best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
    Error Rate· 2022-09-07
    47.04
    best: 10.9 (LPT)
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Long-tail LearningonCIFAR-100-LT (ρ=50)
    Error Rate· 2022-09-07
    43.1
    best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Long-tail LearningonCIFAR-100-LT (ρ=10)
    Error Rate· 2022-09-07
    34.78
    best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Long-tail LearningonCIFAR-100-LT (ρ=100)
    Error Rate· 2022-09-07
    47.04
    best: 10.9 (LPT)
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Generalized Few-Shot LearningonCIFAR-100-LT (ρ=50)
    Error Rate· 2022-09-07
    43.1
    best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
    Error Rate· 2022-09-07
    34.78
    best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
    Error Rate· 2022-09-07
    47.04
    best: 10.9 (LPT)
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960

Computer Vision6 results

  • Image ClassificationonCIFAR-100-LT (ρ=50)
    Error Rate· 2022-09-07
    43.1
    best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Image ClassificationonCIFAR-100-LT (ρ=10)
    Error Rate· 2022-09-07
    34.78
    best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Image ClassificationonCIFAR-100-LT (ρ=100)
    Error Rate· 2022-09-07
    47.04
    best: 10.9 (LPT)
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Few-Shot Image ClassificationonCIFAR-100-LT (ρ=50)
    Error Rate· 2022-09-07
    43.1
    best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
    Error Rate· 2022-09-07
    34.78
    best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960
  • Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
    Error Rate· 2022-09-07
    47.04
    best: 10.9 (LPT)
    Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionarXiv:2209.02960