arXiv:1807.00686
YH Technologies at ActivityNet Challenge 2018
원문 초록
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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Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues
DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments
Zero-Shot Temporal Interaction Localization for Egocentric Videos
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
토론
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