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Research map / Video / Action recognition

Gaussian Temporal Awareness Networks for Action Localization

CVPR 2019 · Video › Action recognition · approach: Weakly supervised temporal action localization · 390 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace fixed temporal scales with learned Gaussian kernels and Gaussian pooling (ablation)One-stage action localization · THUMOS14mAP: 33.5 to 37.1Helped
Replace fixed temporal scales with learned Gaussian kernels and Gaussian pooling (ablation)One-stage action localization · ActivityNet v1.3mAP: 29.8 to 31.6Helped
Add Gaussian grouping to merge overlapping kernels (ablation)GTAN · THUMOS14mAP: 37.1 to 38.2Helped
Add Gaussian grouping to merge overlapping kernels (ablation)GTAN · ActivityNet v1.3mAP: 31.6 to 34.3Helped
Add Gaussian grouping (ablation)GTAN · THUMOS14 actions ≥ 128 framesmAP: 22.1 to 25.9Helped
Add Gaussian grouping (ablation)GTAN · ActivityNet v1.3 actions ≥ 2048 framesmAP: 49.4 to 54.2Helped
Use 4 anchor layers rather than SSAD's fixed-scale anchors (ablation)Action localization · ActivityNet v1.3average mAP: 26.77% in average mAP; SSAD 5.12%Helped
Use GTAN instead of BSNTemporal action detection · THUMOS14 testmAP@0.5: 36.9 to 38.8Helped
Use GTAN instead of BSNTemporal action detection · ActivityNet v1.3 validationaverage mAP: 33.72 to 34.31Helped
Use GTAN instead of BSNTemporal action detection · ActivityNet v1.3 testingaverage mAP: 34.42 to 35.54Helped

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