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arxiv: 1710.08011 · v1 · pith:42IQTVMEnew · submitted 2017-10-22 · 💻 cs.CV

ActivityNet Challenge 2017 Summary

Bernard Ghanem , Juan Carlos Niebles , Cees Snoek , Fabian Caba Heilbron , Humam Alwassel , Ranjay Khrisna , Victor Escorcia , Kenji Hata
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Shyamal Buch
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classification 💻 cs.CV
keywords challengeactivitynetsummaryactivitylargeparticipantsrecognitionresults
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The ActivityNet Large Scale Activity Recognition Challenge 2017 Summary: results and challenge participants papers.

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Cited by 2 Pith papers

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    LAT-Audio introduces a global-to-local reasoning approach with TWA-CoT that outperforms prior models on temporal tasks for audio up to 30 minutes.

  2. BMN: Boundary-Matching Network for Temporal Action Proposal Generation

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    BMN uses a boundary-matching mechanism to generate precise temporal action proposals with reliable confidence scores simultaneously in an end-to-end framework, improving results on THUMOS-14 and ActivityNet-1.3.