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ICCV2019-Asymmetric Non-local Neural Networks for Semantic Segmentation
時間 2021-01-02
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摘要: Non-Local模塊是一種特別有用的語義分割技術,但也因其難以進行計算和佔用GPU內存而受到批評。本文非對稱Non-local神經網絡引入到語義分割中,提出了非對稱金字塔非局部塊(APNB)和非對稱融合非局部塊(AFNB)兩種顯著的語義分割方法。APNB利用一個金字塔採樣模塊嵌入Non-local模塊,在不犧牲性能的前提下,極大地減少了計算和內存消耗。AFNB是由APNB演化而來的,在充
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相關文章
1.
ANN:Asymmetric Non-local Neural Networks for Semantic Segmentation
2.
Fully Convolutional Adaptation Networks for Semantic Segmentation
3.
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