fusilli.fusionmodels.tabularimagefusion๏
Fusion models for tabular-image fusion.
Modules
Image-channel-wise attention fusion model. |
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Concat image latent space with tabular data, trained altogether with a custom loss function: MSE + BCE. |
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Concatenating the latent img space and tabular data. |
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Concatenating the input data of the first tabular modality and the feature maps of the image modality. |
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Concatenating the feature maps of the first tabular modality and the feature maps of the image modality. |
Crossmodal multi-head attention model. |
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Model that fuses the first tabular data and the image data using a decision fusion approach. |
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Denoising autoencoder for tabular data concatenated with image feature maps |