Tri-WE achieves state-of-the-art few-shot class-incremental learning by interpolating the classification heads of three consecutive models in weight space and distilling the previous model on CutMix-amplified data.
Orco: To- wards better generalization via orthogonality and contrast for few-shot class-incremental learning
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Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
Tri-WE achieves state-of-the-art few-shot class-incremental learning by interpolating the classification heads of three consecutive models in weight space and distilling the previous model on CutMix-amplified data.