Dealing with class imbalance?

Hey everyone,


Working on an image classification task here. My dataset has a severe class imbalance problem. I have tried traditional algorithms like random oversampling and under-sampling, but I'm not entirely satisfied with the results. What approaches do you usually take to tackle class imbalance in your machine learning projects? Are there any novel techniques or recent research findings that you've found particularly effective?


Thanks!

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