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Yuyan Li

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Conference Jul 2026

A minority-friendly learning method for object detection: joint optimization of oversampling-driven data balancing and loss reconstruction

A minority-friendly learning method for object detection is proposed through the joint optimization of oversampling-driven data rebalancing and loss reconstruction, and a minority-oriented loss reformulation mechanism is designed to strengthen the contribution of underrepresented classes during training.

Yuyan Li · 0 citations

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