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Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos

CVPR 2016 · Video › Action recognition · approach: Fully supervised temporal action detection · 304 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add activity-label supervision to dictionary learning (ablation)Temporal activity proposals · MSR-IIrecall: Class-Induced: 80%; Class-Independent: 60.3Helped
add activity-label supervision to dictionary learning (ablation)Temporal activity proposals · Thumos14mAP (tIoU 0.5, 1000 proposals): 6.7 -> 13.5Helped
use class-induced proposals instead of uniform samplingAction detection · Thumos14mAP (tIoU 0.5, 1000 proposals): 3.1 -> 13.5Helped
use class-induced proposals instead of BPC proposalsAction detection · Thumos14mAP (tIoU 0.5, 1000 proposals): 9.9 -> 13.5Helped
use class-induced proposals instead of APT proposalsAction detection · Thumos14mAP (tIoU 0.5, 1000 proposals): 9.1 -> 13.5Helped
use class-induced proposals instead of class-independent proposals (ablation)Action detection · MSR-IImAP (tIoU 0.5, 100 proposals): 34.1 -> 60.3Helped
use class-induced proposals instead of class-independent proposals (ablation)Action detection · Thumos14mAP (tIoU 0.8, 1000 proposals): 3.3 -> 7.5Helped
use class-induced proposals instead of APTTemporal proposal generation · Thumos14FPS: 0.68 -> 10.2Helped
use class-induced proposals instead of Oneata et al.Action detection · Thumos14 detection challengemAP (tIoU 0.5): 14.3% -> 13.5%Hurt
use class-induced proposals instead of FAPTemporal proposals · MSR-IIrecall at high tIoU: At tIoU 0.5, FAP recall is 0.6; exact class-induced value not stated in text.Helped

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