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Visual Permutation Learning

Santa Cruz, Rodrigo; Fernando, Basura; Cherian, Anoop; Gould, Stephen


We present a principled approach to uncover the structure of visual data by solving a deep learning task coined visual permutation learning. The goal of this task is to find the permutation that recovers the structure of data from shuffled versions of it. In the case of natural images, this task boils down to recovering the original image from patches shuffled by an unknown permutation matrix. Permutation matrices are discrete, thereby posing difficulties for gradient-based optimization...[Show more]

CollectionsANU Research Publications
Date published: 2019
Type: Journal article
Source: IEEE transactions on pattern analysis and machine intelligence
DOI: 10.1109/TPAMI.2018.2873701


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