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Models/AUMN

AUMN

Reported on 15 benchmarks across 5 tasks · 1 paper

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

Computer Vision12 results

  • VideoonTHUMOS14
    avg-mAP (0.1-0.5)· 2021-04-29
    52.1
    best: 71.6 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • VideoonTHUMOS14
    avg-mAP (0.1:0.7)· 2021-04-29
    41.5
    best: 60.3 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • VideoonTHUMOS14
    avg-mAP (0.3-0.7)· 2021-04-29
    32.4
    best: 51.1 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Temporal Action LocalizationonTHUMOS14
    avg-mAP (0.1-0.5)· 2021-04-29
    52.1
    best: 71.6 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Temporal Action LocalizationonTHUMOS14
    avg-mAP (0.1:0.7)· 2021-04-29
    41.5
    best: 60.3 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Temporal Action LocalizationonTHUMOS14
    avg-mAP (0.3-0.7)· 2021-04-29
    32.4
    best: 51.1 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Action LocalizationonTHUMOS14
    avg-mAP (0.1-0.5)· 2021-04-29
    52.1
    best: 71.6 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Action LocalizationonTHUMOS14
    avg-mAP (0.1:0.7)· 2021-04-29
    41.5
    best: 60.3 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Action LocalizationonTHUMOS14
    avg-mAP (0.3-0.7)· 2021-04-29
    32.4
    best: 51.1 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Weakly Supervised Action LocalizationonTHUMOS14
    avg-mAP (0.1-0.5)· 2021-04-29
    52.1
    best: 71.6 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Weakly Supervised Action LocalizationonTHUMOS14
    avg-mAP (0.1:0.7)· 2021-04-29
    41.5
    best: 60.3 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Weakly Supervised Action LocalizationonTHUMOS14
    avg-mAP (0.3-0.7)· 2021-04-29
    32.4
    best: 51.1 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135

Methodology3 results

  • Zero-Shot LearningonTHUMOS14
    avg-mAP (0.1-0.5)· 2021-04-29
    52.1
    best: 71.6 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Zero-Shot LearningonTHUMOS14
    avg-mAP (0.1:0.7)· 2021-04-29
    41.5
    best: 60.3 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135
  • Zero-Shot LearningonTHUMOS14
    avg-mAP (0.3-0.7)· 2021-04-29
    32.4
    best: 51.1 (HR-Pro)
    Action Unit Memory Network for Weakly Supervised Temporal Action LocalizationarXiv:2104.14135