Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components

By Sascha Saralajew, Lars Holdijk, Maike Rees, Ebubekir Asan, Thomas Villmann. 2019

28 citations recorded by the source corpus.

Subfields: Probabilistic & Bayesian Methods, Knowledge Graphs & Representation

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In Probabilistic & Bayesian Methods

1. Christin Seifert

Citations in the corpus

• Neural Prototype Trees for Interpretable Fine-grained Image Recognition (2020, methodology): “Related is the Classification-By-Components network [44] that learns positive, negative and indefinite visual components motivated by the recognition-by-components theory [7] describing how humans recognize objects by segmenting it into multiple components.”
• This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition (2020, background): “This issue may also arise with other explainability methods that show or highlight part of an image, such as attention mechanisms [10, 15, 47], components [38] and other part-based models e.”