Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...

Zero-shot learning methods are used to recognize objects of unseen categories. By transferring knowledge from the seen classes to describe the unseen classes, deep learning models can recognize unseen ...

Zero-shot incremental learning aims to enable a model to generalize to new classes without forgetting previously learned classes. However, the semantic gap between old and new sample classes can lead ...

This alternative to training with huge data sets has potential for business, but data science teams will need to spend time on research and experimentation. I admit to having some fun with DALL-E 2.

Tsukuba, Japan—Art has emerged as a significant investment asset. This has led to growing interest in art price prediction as a tool for assessing potential returns and risks. However, organizing and ...