compositional scene representation is the process of trying to represent a certain visual signal into its constituent parts. Aim: unsupervised segmentation + representation the model finds the most intuitive representations of the scene train segmentation and representation together Autoencoding segmentation! Segment => Represent => Resegment => etc. Gaussian Mixture Model???? over pixels: regularizes by taking KL Divergence between latent and predicted output, to force them to be similar. Loss: error in RECONSTRUCTION and KL-Divergence of latent space

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