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instance分割效果差,求原因 #17

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Zhutianyi7230 opened this issue Jul 13, 2022 · 3 comments
Open

instance分割效果差,求原因 #17

Zhutianyi7230 opened this issue Jul 13, 2022 · 3 comments

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@Zhutianyi7230
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网络结构是ENet,
我使用TUSimple训练集训练了25个epoch,
Best val_loss = 0.055766,比log文件夹中原有的best model的验证损失更小,
但是instance_output结果如图2(效果不如示例图1)
这是为什么呢,谢谢。

原示例(图一)
图2

@IrohXu
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IrohXu commented Jul 13, 2022

你现在的输出只是ENet Discriminative loss一侧的输出结果,这些是我已经复现了的内容,并不是最终实例输出。
在你现在的输出上,还需要做匹配和串线,最简单的方法是:把语义分割的mask匹配到实例分割的结果里,只保留mask=1的区域,然后无监督划分实例类别。也可以参考LaneNet作者的方法来处理。

@Zhutianyi7230
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我明白了,就是用语义二分的结果把mask=1的保留出来,再用类似原文中mean shift的聚类方法得到多个实例。

@IrohXu
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IrohXu commented Jul 16, 2022

没错。

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