EVA reports SOTA on MIT-States, UT-Zappos, and C-GQA in closed- and open-world CZSL by combining MoE adapters with semantic variant alignment, but missing backbone-matched baselines weaken the claim.
A causal view of compositional zero-shot recognition.Ad- vances in Neural Information Processing Systems, 33:1462– 1473, 2020
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EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning
EVA reports SOTA on MIT-States, UT-Zappos, and C-GQA in closed- and open-world CZSL by combining MoE adapters with semantic variant alignment, but missing backbone-matched baselines weaken the claim.