論文筆記：DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution,and......
文章目錄 1 摘要 2 亮點 2.1 空洞卷積 2.2 空洞空間金字塔池化（ASPP） 2.3 條件隨機場（CRF） 2.4 實現過程 3 部分效果 4 結論 5 參考文獻 1 摘要 本文提出了一種用於語義分割的DeepLab系統，主要有三大貢獻：① 使用「空洞卷積」代替傳統的普通卷積；② 提出空洞空間金字塔池化（ASPP）有效地解決圖像多尺度問題；③ 使用條件隨機場（CRF）對特徵圖進行後處理，
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