Multi-source Open-Set Deep Adversarial Domain Adaptation

Sayan Rakshit; Dipesh Tamboli; Pragati Shuddhodhan Meshram; Biplab Banerjee; Gemma Roig; Subhasis Chaudhuri

doi:10.1007/978-3-030-58574-7_44

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Multi-source Open-Set Deep Adversarial Domain Adaptation

Sayan Rakshit Dipesh Tamboli Pragati Shuddhodhan Meshram Biplab Banerjee Gemma Roig Subhasis Chaudhuri

Year: 2020 Lecture notes in computer science Pages: 735-750 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-58574-7_44

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Keywords:

Benchmark (surveying) Computer science Set (abstract data type) Domain (mathematical analysis) Adversarial system Adaptation (eye) Class (philosophy) Artificial intelligence Algorithm Theoretical computer science Mathematics Physics Programming language

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Viral Infections and Vectors

Health Sciences → Medicine → Infectious Diseases

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-source Open-Set Deep Adversarial Domain Adaptation

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