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Research map / Video / Action recognition

SMART Frame Selection for Action Recognition

AAAI 2021 · Video › Action recognition · approach: Disentangled action recognition · 150 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add GloVe language features to visual features (ablation)SMART global selector · Something-something-v2accuracy: 58.3 -> 59.2Helped
Combine the single-frame selector with the global selector (ablation)SMART · Something-something-v2accuracy: 59.7 -> 60.6Helped
Use pairs of frames as global-selector input (ablation)SMART · Something-something-v2accuracy: 60.6 -> 60.8Helped
Select frames with SMART instead of uniform samplingResNet-152 action recognition · UCF101accuracy: 69.1 -> 75.3Helped
Select frames with SMART instead of using all framesResNet-152 action recognition · UCF101accuracy: 74.6 -> 75.3Helped
Use SMART-selected frames rather than all framesResNet-152 action recognition · Kinetics-Temporalaccuracy: 64.1 -> 65.4Helped
Use SMART-selected frames rather than all framesResNet-152 action recognition · Kinetics-Staticaccuracy: 62.4 -> 62.6Helped
Use SMART as a frame-selection preprocessor instead of AASTSN · UCF101accuracy: 94.6 -> 95.8Helped
Use SMART as a frame-selection preprocessor instead of AASTSN · HMDB51accuracy: 71.2 -> 74.6Helped
Use SMART-selected frames at inferenceISTPAN · UCF101accuracy: 95.5 -> 96.4Helped
Use SMART-selected frames at inferenceI3D · HMDB51accuracy: 80.0 -> 81.1Helped

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