V4D:4D Convolutional Neural Networks for Video-level Representation Learning

18 Feb 2020Shiwen ZhangSheng GuoWeilin HuangMatthew R. ScottLimin Wang

Most existing 3D CNNs for video representation learning are clip-based methods, and thus do not consider video-level temporal evolution of spatio-temporal features. In this paper, we propose Video-level 4D Convolutional Neural Networks, referred as V4D, to model the evolution of long-range spatio-temporal representation with 4D convolutions, and at the same time, to preserve strong 3D spatio-temporal representation with residual connections... (read more)

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