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multi-class detection的分类是如何做到的? #5
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通过改变k-means的聚类个数 |
Hi. Could you please detail how to reproduce the results for multi - class detection using the provided code? The segmentation downstream task is clear though. |
你好。你能详细说明一下如何使用提供的代码复现多类别检测的结果吗?尽管分割的下游任务很清晰。 |
To achieve multi-class detection, we should adjust the number of clusters of K-means. For example, set k=3, we can get three types of annotation: class1, class2, and background. When the number of classes is relatively large (>3) the performance will be bad. |
But I could not find any code related to multi class detection. |
您好~
请问下论文最后multi-class detection部分,是如何分类的呢?
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