Unverified60% confidenceFactExact time
Dice Loss and IoU Loss are more sensitive to the relative proportion of foreground pixels, naturally alleviating class imbalance; Focal Loss forces the model to focus on difficult pixels by dynamically reducing the weight of easily classified samples.
2
Sources
60%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
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