3 papers
cs.CV2026
CAST: Closed-form Analytic Semantic Transfer for Zero-Shot Classifier Extension
William Heyden, Habib Ullah, Muhammad Salman Siddiqui +1
Large pre-trained models have become foundational components of modern machine learning systems. Yet adapting these models to novel categories typically requires examples from the…
cs.CV2024
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning
William Heyden, Habib Ullah, M. Salman Siddiqui +1
In Generalized Zero-Shot Learning (GZSL), we aim to recognize both seen and unseen categories using a model trained only on seen categories. In computer vision, this translates int…
cs.CV2023
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
William Heyden, Habib Ullah, M. Salman Siddiqui +1
Zero-Shot Learning (ZSL) presents the challenge of identifying categories not seen during training. This task is crucial in domains where it is costly, prohibited, or simply not fe…