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OFBD: Object-Focused Background Debiasing for Long-Tailed Learning

OFBD identifies background-biased representations as a cause of long-tailed degradation and proposes foreground-guided CutMix and background-guided feature rectification to improve accuracy and tail-class performance.

Shenghan Chen, Yiming Liu, Zhipeng Deng, Haolin Wang and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5