The Lovasz-Softmax loss: A tractable surrogate for the optimization of the ´ intersection-over-union
文章目錄 1.簡介 2.子模損失函數的優化替代 前景-背景分割 多分類語義分割 3.並集上的交集優化 1.簡介 關於簡介請參考Lovasz-Softmax loss 2.子模損失函數的優化替代 爲了在連續優化框架中優化Jaccard，我們考慮了這種離散損失的平滑擴展。擴展是基於集合函數的子模分析，其中集合函數是從一組預測失誤的集合映射到真實數據的集合。 對於一個分割結果 y ∗ y* y∗和真實值
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