Paper - Class-Balanced Loss Based on Effective Number of Samples

• In general, there are two strategies: re-sampling and cost-sensitive re-weighting
• In re-sampling, the number of examples is directly adjusted by over-sampling
• In cost-sensitive re-weighting, we influence the loss function by assigning relatively higher costs to examples from minor classes softmax cross-entropy, sigmoid cross-entropy and focal loss.

Code - Link

Keep Exploring!!!