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How do sedna conform if is hard sample in incremental_learning？

Open CheeryLeeyy opened this issue 3 years ago • 1 comments

CheeryLeeyy avatar Jan 17 '22 09:01 CheeryLeeyy

Sedna provide 3 general algorithms for hard sample mining in the common CV scenario.

  • more detail : ('ThresholdFilter', 'CrossEntropyFilter', 'IBTFilter') -> https://support.huaweicloud.com/devg-hilens/hilens_05_0068.html

You can define new algorithms to support more scenarios as you need by follow here.

JoeyHwong-gk avatar Jan 18 '22 02:01 JoeyHwong-gk