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Models/MVCN

MVCN

Reported on 8 benchmarks across 1 task · 1 paper · 8 SOTA

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

Methodology8 results

  • Generalized Few-Shot LearningonAwA2
    Per-Class Accuracy (1-shot)· 2022-11-29
    69.9
    SOTA
    Better Generalized Few-Shot Learning Even Without Base DataarXiv:2211.16095
  • Generalized Few-Shot LearningonAwA2
    Per-Class Accuracy (10-shots)· 2022-11-29
    82.2
    SOTA
    Better Generalized Few-Shot Learning Even Without Base DataarXiv:2211.16095
  • Generalized Few-Shot LearningonAwA2
    Per-Class Accuracy (2-shots)· 2022-11-29
    76.4
    SOTA
    Better Generalized Few-Shot Learning Even Without Base DataarXiv:2211.16095
  • Generalized Few-Shot LearningonAwA2
    Per-Class Accuracy (5-shots)· 2022-11-29
    81.2
    SOTA
    Better Generalized Few-Shot Learning Even Without Base DataarXiv:2211.16095
  • Generalized Few-Shot LearningonCUB
    Per-Class Accuracy (2-shots)· 2022-11-29
    61.6
    SOTA
    Better Generalized Few-Shot Learning Even Without Base DataarXiv:2211.16095
  • Generalized Few-Shot LearningonCUB
    Per-Class Accuracy (1-shot)· 2022-11-29
    57.3
    SOTA
    Better Generalized Few-Shot Learning Even Without Base DataarXiv:2211.16095
  • Generalized Few-Shot LearningonCUB
    Per-Class Accuracy (10-shots)· 2022-11-29
    67.8
    SOTA
    Better Generalized Few-Shot Learning Even Without Base DataarXiv:2211.16095
  • Generalized Few-Shot LearningonCUB
    Per-Class Accuracy (5-shots)· 2022-11-29
    65.4
    SOTA
    Better Generalized Few-Shot Learning Even Without Base DataarXiv:2211.16095