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Models/PriViLege

PriViLege

Reported on 12 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Methodology12 results

  • Continual LearningonCIFAR-100
    Average Accuracy· 2024-04-02
    88.08
    SOTA
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Continual LearningonCIFAR-100
    Last Accuracy· 2024-04-02
    86.06
    SOTA
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Continual Learningonmini-Imagenet
    Average Accuracy· 2024-04-02
    95.27
    SOTA
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Continual Learningonmini-Imagenet
    Last Accuracy · 2024-04-02
    94.1
    best: 96.24 (CoACT)
    SOTA
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Class Incremental LearningonCIFAR-100
    Average Accuracy· 2024-04-02
    88.08
    SOTA
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Class Incremental LearningonCIFAR-100
    Last Accuracy· 2024-04-02
    86.06
    SOTA
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Class Incremental Learningonmini-Imagenet
    Average Accuracy· 2024-04-02
    95.27
    SOTA
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Class Incremental Learningonmini-Imagenet
    Last Accuracy · 2024-04-02
    94.1
    best: 96.24 (CoACT)
    SOTA
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Continual Learningon CUB-200-2011
    Average Accuracy· 2024-04-02
    77.5
    best: 79.2 (PriViLege (ViT-L))
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Continual Learningon CUB-200-2011
    Last Accuracy · 2024-04-02
    75.08
    best: 81.19 (CoACT)
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Class Incremental Learningon CUB-200-2011
    Average Accuracy· 2024-04-02
    77.5
    best: 79.2 (PriViLege (ViT-L))
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117
  • Class Incremental Learningon CUB-200-2011
    Last Accuracy · 2024-04-02
    75.08
    best: 81.19 (CoACT)
    Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersarXiv:2404.02117