InDeed decomposes images into low-rank, sparse, and noise parts using a network whose modules mirror a hierarchical Bayesian model, and proposes test-time adaptation for out-of-distribution data.
Pac- bayesian theory meets bayesian inference,
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InDeed: Interpretable image deep decomposition with guaranteed generalizability
InDeed decomposes images into low-rank, sparse, and noise parts using a network whose modules mirror a hierarchical Bayesian model, and proposes test-time adaptation for out-of-distribution data.