Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
Generative Zero-shot learning (ZSL) learns a generator to synthesize visual samples for
unseen classes which is an effective way to advance ZSL. However existing generative …
unseen classes which is an effective way to advance ZSL. However existing generative …
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize unseen classes by transferring semantic
knowledge from seen classes to unseen ones, guided by semantic information. To this end …
knowledge from seen classes to unseen ones, guided by semantic information. To this end …
Enhancing Generative Generalized Zero Shot Learning via Multi-Space Constraints and Adaptive Integration
Generalized zero shot learning (GZSL) aims to recognize both seen classes and unseen
classes without labeled data. Generative GZSL models strive to synthesize features of …
classes without labeled data. Generative GZSL models strive to synthesize features of …