Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation

Haitao Zhang; X.-Y. Liu; Qilong Han; Dan Lu

doi:10.1007/978-3-031-44192-9_12

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Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation

Haitao Zhang X.-Y. Liu Qilong Han Dan Lu

Year: 2023 Lecture notes in computer science Pages: 143-156 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-44192-9_12

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Keywords:

Computer science Discriminative model Artificial intelligence Regularization (linguistics) Open set Benchmark (surveying) Pattern recognition (psychology) Machine learning Feature vector Feature (linguistics) Domain adaptation Set (abstract data type) Adversarial system Generalization Contextual image classification Partition (number theory) Image (mathematics) Classifier (UML) Mathematics

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

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Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation

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