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MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection

CVPR 2022 · Video › Action recognition · approach: Fully supervised temporal action detection · 108 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the multi-scale ConvTransformer with center-relative heat-map supervisionI3D-based action detection · Charadesper-frame mAP: 15.6 -> 25.4Helped
Add the Temporal Encoder (ablation)I3D feature baseline · Charadesper-frame mAP: 15.6 -> 23.6; + 7.0%Helped
Add the TS Mixer (ablation)Temporal Encoder · Charadesper-frame mAP: 23.6 -> 24.1; + 0.5%Helped
Add the heat-map branch jointly with the classification branch (ablation)MS-TCT · Charadesper-frame mAP: 24.1 -> 25.4Helped
Remove the classification branch (ablation)MS-TCT · Charadesper-frame mAP: 25.4 -> 10.7Hurt
Remove the Global Relational Layer (ablation)MS-TCT stage · Charadesper-frame mAP: 25.4 -> 20.9Hurt
Remove the Local Relational Layer (ablation)MS-TCT stage · Charadesper-frame mAP: 25.4 -> 24.0Hurt
Replace Temporal Merge with stride-1 temporal convolution (ablation)MS-TCT stage · Charadesper-frame mAP: 25.4 -> 22.7Hurt
Replace ConvTransformer stages with pure Transformer stages (ablation)MS-TCT · CharadesmAP: 25.4 -> 22.3; + 3.1%Hurt
Replace ConvTransformer stages with pure convolution stages (ablation)MS-TCT · CharadesmAP: 25.4 -> 21.4; + 4.0%Hurt
Add learnable positional embedding before the Temporal Encoder (ablation)MS-TCT · CharadesmAP: -0.2%Hurt
Increase heat-map Gaussian sigma from 1/8 to 1/2 of instance duration (ablation)MS-TCT heat-map branch · CharadesmAP: 24.6 -> 25.4Helped

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