Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart?

Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka. Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart?. In Sos S. Agaian, Karen O. Egiazarian, Atanas P. Gotchev, editors, Image Processing: Algorithms and Systems XIX, Virtual Event, 11-28 January 2021. Ingenta, 2021. [doi]

Abstract

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