Self-Feedback DETR for Temporal Action Detection
Self-Feedback DETR for Temporal Action Detection
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Author / Creator
Kim, Jihwan , Lee, Miso and Jae-Pil Heo
Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Temporal Action Detection (TAD) is challenging but fundamental for real-world video applications. Recently, DETR-based models have been devised for TAD but have not performed well yet. In this paper, we point out the problem in the self-attention of DETR for TAD; the attention modules focus on a few key elements, called temporal collapse problem. I...
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Full title
Self-Feedback DETR for Temporal Action Detection
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TN_cdi_proquest_journals_2854675292
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2854675292
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E-ISSN
2331-8422