Mathematical Optimization and Advanced Algorithms for Few-Shot and Zero-Shot Visual Learning: An Optimization-Centered Review
A unified comparison of attribute-based ZSL, episodic meta-learning, metric and prototype estimators, graph and optimal-transport inference, generative any-shot models, and adaptation of vision–language models is analyzed.