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Models/AFA

AFA

Reported on 26 benchmarks across 5 tasks · 2 papers

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

Methodology16 results

  • Few-Shot LearningonChestX
    5 shot· 2022-08-23
    25.02
    best: 26.24 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Few-Shot LearningonPlantae
    5 shot· 2022-08-23
    54.26
    best: 64.1 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Few-Shot Learningoncars
    5 shot· 2022-08-23
    49.28
    best: 56.44 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Few-Shot LearningonEuroSAT
    5 shot· 2022-08-23
    85.58
    best: 91.64 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Few-Shot LearningonCUB
    5 shot· 2022-08-23
    68.25
    best: 71.59 (MSENet)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Few-Shot LearningonISIC2018
    5 shot· 2022-08-23
    46.01
    best: 53.05 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Few-Shot LearningonPlaces
    5 shot· 2022-08-23
    76.21
    best: 79.35 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Few-Shot LearningonCropDisease
    5 shot· 2022-08-23
    88.06
    best: 96.51 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Meta-LearningonChestX
    5 shot· 2022-08-23
    25.02
    best: 26.24 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Meta-LearningonPlantae
    5 shot· 2022-08-23
    54.26
    best: 64.1 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Meta-Learningoncars
    5 shot· 2022-08-23
    49.28
    best: 56.44 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Meta-LearningonEuroSAT
    5 shot· 2022-08-23
    85.58
    best: 91.64 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Meta-LearningonCUB
    5 shot· 2022-08-23
    68.25
    best: 71.59 (MSENet)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Meta-LearningonISIC2018
    5 shot· 2022-08-23
    46.01
    best: 53.05 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Meta-LearningonPlaces
    5 shot· 2022-08-23
    76.21
    best: 79.35 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Meta-LearningonCropDisease
    5 shot· 2022-08-23
    88.06
    best: 96.51 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021

Computer Vision8 results

  • Cross-Domain Few-ShotonChestX
    5 shot· 2022-08-23
    25.02
    best: 26.24 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Cross-Domain Few-ShotonPlantae
    5 shot· 2022-08-23
    54.26
    best: 64.1 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Cross-Domain Few-Shotoncars
    5 shot· 2022-08-23
    49.28
    best: 56.44 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Cross-Domain Few-ShotonEuroSAT
    5 shot· 2022-08-23
    85.58
    best: 91.64 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Cross-Domain Few-ShotonCUB
    5 shot· 2022-08-23
    68.25
    best: 71.59 (MSENet)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Cross-Domain Few-ShotonISIC2018
    5 shot· 2022-08-23
    46.01
    best: 53.05 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Cross-Domain Few-ShotonPlaces
    5 shot· 2022-08-23
    76.21
    best: 79.35 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021
  • Cross-Domain Few-ShotonCropDisease
    5 shot· 2022-08-23
    88.06
    best: 96.51 (StyleAdv-FT)
    Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationarXiv:2208.11021

Medical1 result

  • Semantic SegmentationonCOCO 2014 val
    mIoU· 2022-03-05
    38.9
    best: 56.8 (DHR (Swin-L, Mask2Former))
    Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with TransformersarXiv:2203.02664

Audio1 result

  • 10-shot image generationonCOCO 2014 val
    mIoU· 2022-03-05
    38.9
    best: 56.8 (DHR (Swin-L, Mask2Former))
    Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with TransformersarXiv:2203.02664