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G-TAD: Sub-Graph Localization for Temporal Action Detection
In this work, we propose a graph convolutional network (GCN) model to adaptively incorporate multi-level semantic context into video features and cast temporal action detection as a sub-graph localization problem.
Ranked #5 on
Temporal Action Localization
on EPIC-KITCHENS-100
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