In the implementation of your project, how is the temporal dimension K of the multimodal feature representation collapsed or eliminated after passing through the Multilayer Perceptron (MLP) layer? I have carefully reviewed the associated paper and model code but am still unable to comprehend this process. Is there a dimensionality reduction or temporal pooling technique applied here? If possible, could you provide some specific implementation details or direct me to the correct part of the code? Thank you very much for your assistance.
In the implementation of your project, how is the temporal dimension K of the multimodal feature representation collapsed or eliminated after passing through the Multilayer Perceptron (MLP) layer? I have carefully reviewed the associated paper and model code but am still unable to comprehend this process. Is there a dimensionality reduction or temporal pooling technique applied here? If possible, could you provide some specific implementation details or direct me to the correct part of the code? Thank you very much for your assistance.