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Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019

arXiv 1906.07016 ↗First posted 14 Jun 2019cs.CVcited by 1

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Abstract (arXiv)

This notebook paper presents an overview and comparative analysis of our systems designed for the following three tasks in ActivityNet Challenge 2019: trimmed action recognition, dense-captioning events in videos, and spatio-temporal action localization.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 14 Jun 2019.

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