30 changes: 17 additions & 13 deletions30tensorflow/lovasz_losses_tf.py Original file line numberDiff line numberDiff line change Expand Up@@ -34,7 +34,8 @@ def lovasz_hinge(logits, labels, per_image=True, ignore=None): ignore: void class id ...
ch/lovasz_losses.py Lovasz-Softmax and Jaccard hinge loss in PyTorch Maxim Berman 2018 ESAT-PSI KU Leuven (MIT License)""" importtorch importtorch.nnasnn importtorch.nn.functionalasF frommmengine.utilsimportis_list_of frommmseg.registryimportMODELS ...
函数l是子模函数当且仅当它的Lovasz扩展是凸的。我们可以利用这一点构建一个子模损失函数的凸代理。 4.2 Lovasz hinge 对于子模块l,我们定义Lovasz hinge L为下式 Lovasz hinge是Lovasz扩展从[0,1]p到Rp的一个扩展,当l是子模增长的,我们给s的每一个消极组成设定一个阈值(通过max(,0)),则当l增长,公式的...
We propose instead a novel convex surrogate loss function for submodular losses, the Lovasz hinge, which leads to O(p log p) complexity with O(p) oracle accesses to the loss function to compute a gradient or cutting-plane. As a result, we have developed the first tractable convex ...
@manager.LOSSES.add_component class LovaszHingeLoss(nn.Layer): """ Binary Lovasz hinge loss. Args: ignore_index (int64): Specifies a target value that is ignored and does not contribute to the input gradient. Default ``255``. """ def __init__(self, ignore_index=255): super...
loss = lovasz_softmax_flat(vprobas, vlabels, classes=self.classes) return loss @manager.LOSSES.add_component class LovaszHingeLoss(nn.Layer): """ Binary Lovasz hinge loss. Args: ignore_index (int64): Specifies a target value that is ignored and does not contribute to the input ...