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YH Technologies at ActivityNet Challenge 2018

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arxiv 1807.00686 v1 pith:MVHEUKDM submitted 2018-06-29 cs.CV

Ting Yao , Xue Li This is my paper · ORCID
classification cs.CV
keywords actionactivitynetchallengelocalizationtemporalanalysiscomparativedense-captioning
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This notebook paper presents an overview and comparative analysis of our systems designed for the following five tasks in ActivityNet Challenge 2018: temporal action proposals, temporal action localization, dense-captioning events in videos, trimmed action recognition, and spatio-temporal action localization.

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  1. Three Branches: Detecting Actions With Richer Features

    cs.CV 2019-08 conditional novelty 4.0 of 10

    A three-branch fusion of SlowFast global features, person-level RoI features, and long-term feature banks reaches 32.49% mAP on AVA and 21.59% error on Kinetics-700.

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