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cs.CV2022
Teach-DETR: Better Training DETR with Teachers
Linjiang Huang, Kaixin Lu, Guanglu Song +4
In this paper, we present a novel training scheme, namely Teach-DETR, to learn better DETR-based detectors from versatile teacher detectors. We show that the predicted boxes from t…
cs.CV2022★ 4 cited
Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation
Linjiang Huang, Liang Wang, Hongsheng Li
Weakly supervised temporal action localization aims to localize temporal boundaries of actions and simultaneously identify their categories with only video-level category labels. M…