Class Token

A class token is a learnable vector representation within neural network architectures, primarily used in transformer-based models, that summarizes global information from input data (images, text, etc.). Current research focuses on leveraging class tokens to improve model efficiency, accuracy, and robustness in various applications, including image recognition, semantic segmentation, and language modeling, often within the context of vision transformers and large language models. This research is significant because it addresses challenges such as computational cost, data scarcity, and model generalization, leading to advancements in diverse fields ranging from computer vision to particle physics. Improved class token utilization promises more efficient and accurate models across numerous domains.