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Specularity Factorization for Low-Light Enhancement
We present a new additive image factorization technique that treats images to be composed of multiple latent specular components which can be simply estimated recursively by modulating the sparsity during decomposition.
A survey on Concept-based Approaches For Model Improvement
Some recent works also use concepts for model improvement in terms of interpretability and generalization.
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