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Updated: Jun 8, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

天文画像のより深い検出の限界は,自己監視の時空無音化を用いた天文画像です

Yuduo Guo1,2,3, Hao Zhang1,2,3, Mingyu Li4

  • 1Department of Automation, Tsinghua University, Beijing, China.

Science (New York, N.Y.)
|February 19, 2026
PubMed
まとめ

天文学的自己監視型トランスフォーマーベースのデノイジング (ASTERIS) アルゴリズムは,曝露の間の相関するノイズを修正することによって,天文学的イメージングを強化します. この高度なデノイジング技術により,検出限界が向上し,より薄暗い天体やより遠い銀河候補を明らかにします.

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