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DCAN: Improving Temporal Action Detection via Dual Context Aggregation

AAAI 2022 · Video › Action recognition · approach: Fully supervised temporal action detection · 69 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add MTCA in place of TEM, retaining PEM (ablation)DCAN · ActivityNet v1.3Average mAP: 33.85% to 35.02%Helped
add MTCA in place of TEM, retaining PEM (ablation)DCAN · THUMOS-14mAP@0.5: 38.80% to 52.55%Helped
add CFM in place of PEM (ablation)BMN · ActivityNet v1.3Average mAP: +0.95%Helped
add CFM in place of PEM (ablation)BMN · THUMOS-14mAP@0.5: +10.62%Helped
combine MTCA and CFM (ablation)DCAN · ActivityNet v1.3Average mAP: 35.02% to 35.39%Helped
combine MTCA and CFM (ablation)DCAN · THUMOS-14mAP@0.5: 52.55% to 54.14%Helped
remove MPTC-S smoothing path (ablation)MTCA · ActivityNet v1.3Average mAP: 35.01 -> 35.39Hurt
use MPTC-S dilation r=1 rather than r=3 (ablation)MTCA · ActivityNet v1.3Average mAP: 35.18 -> 35.39Hurt
use MPTC-S dilation r=5 rather than r=3 (ablation)MTCA · ActivityNet v1.3Average mAP: 35.28 -> 35.39Hurt
use group size G=1 rather than G=2 (ablation)CFM · ActivityNet v1.3Average mAP: 35.11 -> 35.39Hurt
use group size G=4 rather than G=2 (ablation)CFM · ActivityNet v1.3Average mAP: 35.01 -> 35.39Hurt

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