Xia Kong

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning

Generalized zero-shot learning (GZSL) requires a classifier trained on seen classes that can recognize objects from both seen and unseen classes. Due to the absence of unseen training samples, the classifier tends to bias towards seen classes. To mitigate this problem, feature generation based model…