Generalized zero-shot learning (GZSL) aims to train a model for classifying data samples
under the condition that some output classes are unknown during supervised learning. To …

Zero-shot learning (ZSL) aims to recognize classes that do not have samples in the training
set. One representative solution is to directly learn an embedding function associating visual …

Machine learning (ML) techniques are increasingly being employed within a variety of
creative domains. For example, ML tools are being used to analyze the authenticity of …

Learning novel concepts, remembering previous knowledge, and adapting it to future tasks
occur simultaneously throughout a human's lifetime. To model such comprehensive abilities …

Abstract We propose Creative Walk Adversarial Networks (CWAN) for novel art generation.
Quality learning representation of unseen art styles is critical to facilitate generation of new …

By leveraging large-scale image-text paired data for pre-training, the model can efficiently
learn the alignment between images and text, significantly advancing the development of …

Current studies in Zero-Shot Learning for image classification use a weak Zero-Shot
condition by using curated attributes as semantics to guide the classification of unseen …