Unverified50% confidenceFactExact time
Long-tailed recognition typically adopts a two-stage training strategy: the first stage learns a shared feature encoder on the original imbalanced data, and the second stage freezes the encoder and balances the classifier through resampling, reweighting, or classifier correction (such as logit adjustment and τ-normalization).
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11/2/2026
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