Work

OnlineAugment: Online Data Augmentation with Less Domain Knowledge

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-58571-6_19

Authors: Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas

Institutions: Rutgers, The State University of New Jersey, IBM (United States)

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3109835285

FWCI: 3.437

Cites: 38

Cited by: 71

Related to: 10