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What is Inception-based LSTM for Video Prediction about?

This paper introduces an Inception-inspired LSTM architecture for next-frame video prediction, enhancing the predictive capabilities of traditional convolutional LSTMs by utilizing multiple kernel sizes. The proposed model demonstrates superior performance on video prediction tasks compared to standard convolutional LSTMs, while also being evaluated on the KITTI and KTH datasets. The findings suggest that the Inception LSTM can effectively capture various motion scales, improving prediction accuracy in vide

Author

c2711055

Language

EN