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Temporal Bilinear Networks for Video Action Recognition

AAAI 2019 · Video › Action recognition · approach: Disentangled action recognition · 44 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add TBN temporal bilinear blocks to C2DResNet-18, Kinetics · Kinetics validationTop-1 accuracy: 61.1→65.0Helped
Add TBN temporal bilinear blocks to C2DResNet-34, Kinetics · Kinetics validationTop-1 accuracy: 65.4→69.5Helped
Add TBN temporal bilinear blocks to C2DResNet-50, Kinetics · Kinetics validationTop-1 accuracy: 66.9→70.1Helped
Add TBN to C2DResNet-18, ImageNet-pretrained transfer · UCF101Top-1 accuracy: 76.9 -> 77.8Helped
Add TBN to C2DResNet-18, ImageNet-pretrained transfer · HMDB51Top-1 accuracy: 41.2 -> 42.7Helped
Add TB blocks at res_1 rather than using C2D (ablation)WTBN ResNet-18 · Mini-Kinetics-200Top-1 accuracy: 64.3 -> 68.3Helped
Add TB blocks at res_2 rather than using C2D (ablation)WTBN ResNet-18 · Mini-Kinetics-200Top-1 accuracy: 64.3 -> 69.0Helped
Add TB blocks at res_3 rather than using C2D (ablation)WTBN ResNet-18 · Mini-Kinetics-200Top-1 accuracy: 64.3 -> 69.2Helped
Add TB blocks only at res_4 (ablation)WTBN ResNet-18 · Mini-Kinetics-200Top-1 accuracy: 64.3 -> 67.9Helped
Increase WTBN depth from 2 to 6 TB blocks (ablation)WTBN ResNet-18 · Mini-Kinetics-200Top-1 accuracy: 67.9 -> 69.5Helped
Increase DTBN depth from 2 to 6 TB blocks (ablation)DTBN ResNet-18 · Mini-Kinetics-200Top-1 accuracy: 66.9 -> 69.0Helped
Use the bottleneck design (ablation)TBN with 4 TB blocks · Mini-Kinetics-200Top-1 accuracy: 66.6 -> 68.8Helped

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