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Models/EM-ML

EM-ML

Reported on 15 benchmarks across 5 tasks · 1 paper · 15 SOTA

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)· 2020-03-31
44.9
best: 71.6 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
VideoonTHUMOS14
avg-mAP (0.1:0.7)· 2020-03-31
37.7
best: 60.3 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
VideoonTHUMOS14
avg-mAP (0.3-0.7)· 2020-03-31
30.4
best: 51.1 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Temporal Action LocalizationonTHUMOS14
avg-mAP (0.1-0.5)· 2020-03-31
44.9
best: 71.6 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Temporal Action LocalizationonTHUMOS14
avg-mAP (0.1:0.7)· 2020-03-31
37.7
best: 60.3 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Temporal Action LocalizationonTHUMOS14
avg-mAP (0.3-0.7)· 2020-03-31
30.4
best: 51.1 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Action LocalizationonTHUMOS14
avg-mAP (0.1-0.5)· 2020-03-31
44.9
best: 71.6 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Action LocalizationonTHUMOS14
avg-mAP (0.1:0.7)· 2020-03-31
37.7
best: 60.3 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Action LocalizationonTHUMOS14
avg-mAP (0.3-0.7)· 2020-03-31
30.4
best: 51.1 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Weakly Supervised Action LocalizationonTHUMOS14
avg-mAP (0.1-0.5)· 2020-03-31
44.9
best: 71.6 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Weakly Supervised Action LocalizationonTHUMOS14
avg-mAP (0.1:0.7)· 2020-03-31
37.7
best: 60.3 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Weakly Supervised Action LocalizationonTHUMOS14
avg-mAP (0.3-0.7)· 2020-03-31
30.4
best: 51.1 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163

Methodology3 results

Zero-Shot LearningonTHUMOS14
avg-mAP (0.1-0.5)· 2020-03-31
44.9
best: 71.6 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Zero-Shot LearningonTHUMOS14
avg-mAP (0.1:0.7)· 2020-03-31
37.7
best: 60.3 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163
Zero-Shot LearningonTHUMOS14
avg-mAP (0.3-0.7)· 2020-03-31
30.4
best: 51.1 (HR-Pro)
SOTA
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning arXiv:2004.00163