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Have you tried K-means based clustering to generate pseudo labels for SpCL? I tried it based on your open source code. However, using K-means based pseudo labels for SpCL, we got poor results. For example, mAP are 20.9% and 36.2%,respectively. When the pseudo labels of MMT are generated by K-means, its results is comparable with that of DBSCAN. I can't understand and explain this. Could you give some suggestions? Thank you in advance.
The text was updated successfully, but these errors were encountered:
Have you tried K-means based clustering to generate pseudo labels for SpCL? I tried it based on your open source code. However, using K-means based pseudo labels for SpCL, we got poor results. For example, mAP are 20.9% and 36.2%,respectively. When the pseudo labels of MMT are generated by K-means, its results is comparable with that of DBSCAN. I can't understand and explain this. Could you give some suggestions? Thank you in advance.
The text was updated successfully, but these errors were encountered: