Abstract: Highlights•A novel manifold-based fusion method improves top-1 accuracy via top-k diversity.•Decoupled design allows adding/removing models without affecting others.•Enables efficient modular updates using complementary sub-optimal predictions.•Avoids redundant computation and preserves base models unchanged.
External IDs:dblp:journals/inffus/ZhaoZBWKM26
Loading