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Action Recognition on HMDB-51 (test)

0.1Total Time (ms)DMC-Net
-57.876333.462724.81,116.138Jan 11, 2019

Evaluation results

MethodLinks
DMC-NetScenario=Generator Only, Batch Size=12019.010.1———9,433.9
DMC-NetScenario=Generator + Classifier, Backbone=ResNet-18, Batch Size=12019.010.3———3,333.3
CoViARStream=Compressed Video Based, Forwarding Scenario=Concurrent (C), Batch Size=12019.010.680.460.224,545.41,470.5
DMC-NetStream=Compressed Video Based, Forwarding Scenario=Concurrent (C), Batch Size=12019.010.760.460.33,333.31,315.7
CoViARStream=Compressed Video Based, Forwarding Scenario=Sequential (S), Batch Size=12019.011.050.460.59——
DMC-NetStream=Compressed Video Based, Forwarding Scenario=Sequential (S), Batch Size=12019.011.350.460.89——
PWC-NetScenario=Generator Only, Batch Size=12019.0128.6———35
PWC-NetScenario=Generator + Classifier, Backbone=ResNet-18, Batch Size=12019.0128.8———34.8
BN-InceptionStream=Two-Stream (RGB+Flow), Forwarding Scenario=Concurrent (C), Batch Size=12019.0175.9750.91,111.113.1
BN-InceptionStream=Two-Stream (RGB+Flow), Forwarding Scenario=Sequential (S), Batch Size=12019.0176.6751.6——
ResNet152Stream=Two-Stream (RGB+Flow), Forwarding Scenario=Concurrent (C), Batch Size=12019.017975425012.6
ResNet152Stream=Two-Stream (RGB+Flow), Forwarding Scenario=Sequential (S), Batch Size=12019.0182.5757.5——
TVNetScenario=Generator Only, Batch Size=12019.0183.3———12
TVNetScenario=Generator + Classifier, Backbone=ResNet-18, Batch Size=12019.0183.5———12
Flownet2.0Scenario=Generator Only, Batch Size=12019.01220.8———4.5
Flownet2.0Scenario=Generator + Classifier, Backbone=ResNet-18, Batch Size=12019.01221———4.5
DeepflowScenario=Generator Only, Batch Size=12019.011,449.2———0.7
DeepflowScenario=Generator + Classifier, Backbone=ResNet-18, Batch Size=12019.011,449.5———0.7