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Author

Ramin Yahyapour

CIDAS, Universität Göttingen, GWDG

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Open access Aug 2026

AMCA-SGG: Adaptive multi-prototype learning and cross-modal alignment for unbiased scene graph generation

This work proposes AMCA, an unbiased SGG framework integrating adaptive multi-prototype learning with cross-modal alignment, which achieves consistently competitive performance across multiple SGG tasks, with particularly strong improvements on the unbiased mR@K metric.

Jinhao Fan, Yuanhao Xi, Chuanping Hu et al. · 0 citations

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