Spatiotemporal Residual Networks for Video Action Recognition

Understand

Two-stream Convolutional Networks (ConvNets) have shown strong performance for human action recognition in videos.

• Recently, Residual Networks (ResNets) have arisen as a new technique to train extremely deep architectures.
• In this paper, we introduce spatiotemporal ResNets as a combination of these two approaches.
• Our novel architecture generalizes ResNets for the spatiotemporal domain by introducing residual connections in two ways.