DSpace at KOASAS: Reducing DNN labelling cost using surprise adequacy: an industrial case study for autonomous driving

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College of Engineering(공과대학)School of Computing(전산학부)CS-Conference Papers(학술회의논문)

Reducing DNN labelling cost using surprise adequacy: an industrial case study for autonomous driving

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Kim, Jinhan / Ju, Jeongil / Feldt, Robert / Yoo, Shin researcher

Publisher: ACM SIGSOFT

Issue Date: 2020-11-10

Language: English

Citation: ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp.1466 - 1476

DOI: 10.1145/3368089.3417065

URI: http://hdl.handle.net/10203/277216

Appears in Collection: CS-Conference Papers(학술회의논문)

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