However, in the case of the Sequential model, the differences between the text-only and multimodal model are the smallest for all attribute categories.One possible reason for such differences between the MultiClass and the Attentive MultiTask models compared to the Sequential model might be due to the different handling input representations by these models. Sequential model of development and fundingThe region corresponding to early stage technology development is stage 3, shaded in gray. It is possible that integrating more complex fusion mechanisms into the non- sequential models would help to diminish the gap between the text-only and multimodal settings for these models as well on the Kaggle dataset.Overall, in two datasets out of three, the multimodal models perform as good or better than text-only or image-only models and the Sequential model either performs better or at least does not degrade the performance. The amount of correlation between input and labels provided insights into how much data was needed for each degree of freedom, leading to the construction of data sets 3A/3B.Neural networkA neural network was coded in python using the Sequential model in the Keras library,44 with a Tensorflow backend. While all baseline models fuse the text and image representations via simple concatenation, the Sequential model uses image and text representations through attention. The prediction of the Sequential model is fully correct while the Attentive MultiTask model makes errors in predicting the chain. Examples of Sequential model in a sentence
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