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Models/WA

WA

Reported on 9 benchmarks across 1 task · 1 paper · 5 SOTA

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

Methodology9 results

  • Incremental LearningonImageNet - 10 steps
    Average Incremental Accuracy· 2019-11-16
    65.67
    best: 85.5 (kNN-CLIP)
    SOTA
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053
  • Incremental LearningonImageNet - 10 steps
    Average Incremental Accuracy Top-5· 2019-11-16
    86.6
    best: 88.59 (DyTox)
    SOTA
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053
  • Incremental LearningonImageNet - 10 steps
    Final Accuracy· 2019-11-16
    55.6
    best: 63.34 (DyTox)
    SOTA
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053
  • Incremental LearningonImageNet - 10 steps
    Final Accuracy Top-5· 2019-11-16
    81.1
    best: 84.49 (DyTox)
    SOTA
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053
  • Incremental LearningonImageNet100 - 10 steps
    Average Incremental Accuracy Top-5· 2019-11-16
    91
    best: 94.17 (TCIL)
    SOTA
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053
  • Incremental LearningonCIFAR-100-B0(5steps of 20 classes)
    Average Incremental Accuracy· 2019-11-16
    72.81
    best: 79.23 (View-Batch(TCIL))
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053
  • Incremental LearningonImageNet - 10 steps
    # M Params· 2019-11-16
    11.68
    best: 116.89 (DER w/o Pruning)
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053
  • Incremental LearningonImageNet100 - 10 steps
    # M Params· 2019-11-16
    11.22
    best: 116.54 (TCIL)
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053
  • Incremental LearningonImageNet100 - 10 steps
    Final Accuracy Top-5· 2019-11-16
    84.1
    best: 88.84 (TCIL)
    Maintaining Discrimination and Fairness in Class Incremental LearningarXiv:1911.07053