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Models/Lin et al.

Lin et al.

Reported on 12 benchmarks across 4 tasks · 1 paper · 12 SOTA

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

Computer Vision9 results

  • VideoonActivityNet-1.3
    AR@100· 2017-07-21
    73.01
    best: 77.67 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • VideoonActivityNet-1.3
    AUC (test)· 2017-07-21
    64.8
    best: 70.1 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • VideoonActivityNet-1.3
    AUC (val)· 2017-07-21
    64.4
    best: 69.71 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • Temporal Action LocalizationonActivityNet-1.3
    AR@100· 2017-07-21
    73.01
    best: 77.67 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • Temporal Action LocalizationonActivityNet-1.3
    AUC (test)· 2017-07-21
    64.8
    best: 70.1 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • Temporal Action LocalizationonActivityNet-1.3
    AUC (val)· 2017-07-21
    64.4
    best: 69.71 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • Action LocalizationonActivityNet-1.3
    AR@100· 2017-07-21
    73.01
    best: 77.67 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • Action LocalizationonActivityNet-1.3
    AUC (test)· 2017-07-21
    64.8
    best: 70.1 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • Action LocalizationonActivityNet-1.3
    AUC (val)· 2017-07-21
    64.4
    best: 69.71 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750

Methodology3 results

  • Zero-Shot LearningonActivityNet-1.3
    AR@100· 2017-07-21
    73.01
    best: 77.67 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • Zero-Shot LearningonActivityNet-1.3
    AUC (test)· 2017-07-21
    64.8
    best: 70.1 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750
  • Zero-Shot LearningonActivityNet-1.3
    AUC (val)· 2017-07-21
    64.4
    best: 69.71 (AOE-Net)
    SOTA
    Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017arXiv:1707.06750