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Memory-Augmented Temporal Dynamic Learning for Action Recognition

AAAI 2019 · Video › Action recognition · approach: Spatiotemporal CNNs for action recognition · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the memory-augmented temporal dynamic network to the ResNet+TSN baselineResNet+TSN · UCF101accuracy: 94.1 -> 94.8; 0.7%Helped
Add the memory-augmented temporal dynamic network to the ResNet+TSN baselineResNet+TSN · HMDB51accuracy: 69.0 -> 71.8; 2.5%Helped
Add the memory-augmented temporal dynamic networkVGG16 spatial stream · UCF101 split 1accuracy: 77.4 -> 80.0; 2.6Helped
Add the memory-augmented temporal dynamic networkVGG16 temporal stream · UCF101 split 1accuracy: 75.2 -> 82.7; 7.5Helped
Use memory-augmented temporal learning instead of ConvLSTMUCF101 human-object interaction · UCF101 split 1 human-object interactionaccuracy: 76.0 -> 83.3; 7.3%Helped
Use memory-augmented temporal learning instead of ConvLSTMUCF101 human-human interaction · UCF101 split 1 human-human interactionaccuracy: 89.1 -> 91.5; 2.4%Helped
Use memory-augmented temporal learning instead of ConvLSTMUCF101 body motion only · UCF101 split 1 body motion onlyaccuracy: 88.1 -> 89.3; 1.2%Helped

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