Semi-coupled Transform Learning

Maggu, Jyoti; Majumdar, Angshul

doi:10.1007/978-3-030-04182-3_13

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2023

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“…For that reason, the direct similarity metric is not suitable. Analysis dictionary learning has recently gained a lot of attention in solving various representation learning problems [21][22][23][24][25]. We suggest a novel strategy based on learning from analytical dictionaries.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Fusion with Supervised Deep Analysis Dictionary Learning for Kinship Verification

Maggu

2023

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Consider the new challenge of determining the relationship or kinship between two people based on the face photographs that are provided. Although it can be difficult, finding kin ties between matched images across big datasets is crucial in numerous computer vision applications. We present a novel knowledge fusion-based supervised deep analysis dictionary learning architecture for face kinship verification using recent advancements in deep learning and dictionary learning and then solve the optimization problem. Three datasets for kinship verification serve as examples of the experimental effectiveness. Results reveal that our suggested solution outperforms challenging state-of-the-art algorithms by a wide margin.

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