JCruan519/MALUNet

结果与原文差异较大

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ISIC2018,MALUNet跑出来的结果为
test of best model, loss: 0.2932,miou: 0.7998552734900135, f1_or_dsc: 0.8887995443534216, accuracy: 0.9469325188362953, specificity: 0.9712784932378719, sensitivity: 0.871260228505311, confusion_matrix: [[38912813 1150684]
[ 1659403 11230188]]

还有作者的EGE-Net实际测试结果为
ISIC2017,test of best model, loss: 0.7335,miou: 0.7868152686906821, f1_or_dsc: 0.8806901110345153, accuracy: 0.9593141526442308, specificity: 0.9718391644287886, sensitivity: 0.8970188284372141, confusion_matrix: [[34468587 998791]
[ 734361 6396661]]

作者能否提供下模型权重以供对比?感谢!