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.