Abstract: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...

Trade groups say proposed labels are misleading, violate First Amendment Texas law requires new warnings for 44 ingredients deemed unsafe by other countries Dec 8 (Reuters) - Food industry trade ...

I would like to request clarification on the scope of “visible label” in SC 2.5.3 Label in Name, as we are encountering different interpretations in real-world projects. There is one visible text ...

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...

Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...

Managing your email inbox can often feel overwhelming, but Gmail labels offer a practical and efficient way to organize your messages. This guide provides a comprehensive walkthrough of using Gmail ...

In case you use any of the components for your research, please refer to (and cite) this paper: "LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in ...

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...