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Models/E2E

E2E

Reported on 12 benchmarks across 3 tasks · 3 papers · 10 SOTA

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

Methodology6 results

  • Incremental LearningonImageNet - 10 steps
    Average Incremental Accuracy Top-5· 2018-07-25
    72.09
    best: 88.59 (DyTox)
    SOTA
    End-to-End Incremental LearningarXiv:1807.09536
  • Incremental LearningonImageNet - 10 steps
    Final Accuracy Top-5· 2018-07-25
    52.29
    best: 84.49 (DyTox)
    SOTA
    End-to-End Incremental LearningarXiv:1807.09536
  • Incremental LearningonImageNet100 - 10 steps
    Average Incremental Accuracy Top-5· 2018-07-25
    89.92
    best: 94.17 (TCIL)
    SOTA
    End-to-End Incremental LearningarXiv:1807.09536
  • Incremental LearningonImageNet100 - 10 steps
    Final Accuracy Top-5· 2018-07-25
    80.29
    best: 88.84 (TCIL)
    SOTA
    End-to-End Incremental LearningarXiv:1807.09536
  • Incremental LearningonImageNet - 10 steps
    # M Params· 2018-07-25
    11.68
    best: 116.89 (DER w/o Pruning)
    End-to-End Incremental LearningarXiv:1807.09536
  • Incremental LearningonImageNet100 - 10 steps
    # M Params· 2018-07-25
    11.22
    best: 116.54 (TCIL)
    End-to-End Incremental LearningarXiv:1807.09536

Computer Vision3 results

  • Zero-Shot Action RecognitiononUCF101
    Top-1 Accuracy· 2020-03-03
    48
    best: 92.8 (OTI(ViT-L/14))
    SOTA
    Rethinking Zero-shot Video Classification: End-to-end Training for Realistic ApplicationsarXiv:2003.01455
  • Zero-Shot Action RecognitiononHMDB51
    Top-1 Accuracy· 2020-03-03
    32.7
    best: 64.7 (MOV (ViT-L/14))
    SOTA
    Rethinking Zero-shot Video Classification: End-to-end Training for Realistic ApplicationsarXiv:2003.01455
  • Zero-Shot Action RecognitiononActivityNet
    Top-1 Accuracy· 2020-03-03
    26.6
    best: 86.2 (BIKE)
    SOTA
    Rethinking Zero-shot Video Classification: End-to-end Training for Realistic ApplicationsarXiv:2003.01455

Natural Language Processing3 results

  • Entity LinkingonOKE-2016
    Micro-F1· 2018-08-23
    58.4
    best: 59.5 (ReFinED)
    SOTA
    End-to-End Neural Entity LinkingarXiv:1808.07699
  • Entity LinkingonN3-Reuters-128
    Micro-F1· 2018-08-23
    54.6
    best: 58.1 (ReFinED)
    SOTA
    End-to-End Neural Entity LinkingarXiv:1808.07699
  • Entity LinkingonOKE-2015
    Micro-F1· 2018-08-23
    66.9
    SOTA
    End-to-End Neural Entity LinkingarXiv:1808.07699