Long-Term Temporal Convolutions for Action Recognition
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DOI: 10.1109/tpami.2017.2712608
Abstract: Typical human actions last several seconds and exhibit characteristic spatio-temporal structure. Recent methods attempt to capture this structure and learn action representations with convolutional neural networks. Such representations, however, are typically learned at the level… read more here.
Keywords: action recognition; temporal convolutions; long term; term temporal ... See more keywords