ASSG, a seed-growing framework with an erasing classifier, achieves state-of-the-art weakly-supervised temporal action localization, with 25.4% mAP at IoU 0.5 on THUMOS'14 and 32.3% on ActivityNet1.3.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization
ASSG, a seed-growing framework with an erasing classifier, achieves state-of-the-art weakly-supervised temporal action localization, with 25.4% mAP at IoU 0.5 on THUMOS'14 and 32.3% on ActivityNet1.3.