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Comparison of Spatiotemporal Networks for Learning Video Related Tasks
Many methods for learning from video sequences involve temporally processing 2D CNN features from the individual frames or directly utilizing 3D convolutions within high-performing 2D CNN architectures.
Learning from Videos with Deep Convolutional LSTM Networks
This paper explores the use of convolution LSTMs to simultaneously learn spatial- and temporal-information in videos.
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