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&subtitle=Despite%20significant%20advancements%20in%20sequence%20prediction%2C%20current%20methods%20lack%20attention-based%20mechanisms%20for%20next-frame%20prediction.%20Our%20work%20introduces%20VAPAAD%20or%20Vision%20Augmentation%20Prediction%20Autoencoder%20with%20Attention%20Design%2C%20an%20innovative%20model%20that%20enhances%20predictive%20performance%20by%20integrating%20attention%20designs%2C%20allowing%20for%20nuanced%20understanding%20and%20handling%20of%20temporal%20dynamics%20in%20video%20sequences.%20We%20demonstrate%20using%20the%20famous%20Moving%20MNIST%20dataset%20the%20robust%20performance%20of%20the%20proposed%20model%20and%20potential%20applicability%20of%20such%20design%20in%20the%20literature.)
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