Fine-Grained Zero-Shot Learning: Attribute-Centric Approach

This research explores zero-shot learning within the challenging domain of fine-grained classification, likely improving object recognition and categorization. The attribute-centric representations represent a novel approach, potentially leading to more robust and accurate model performance.

• •Focuses on fine-grained zero-shot learning.
• •Utilizes attribute-centric representations.
• •Paper is hosted on ArXiv.