Abstract: To address the issue that traditional convolutional neural networks (CNNs) excel at capturing local text features but struggle with modeling long-range semantic dependencies, and that ...

Abstract: Text-to-image pedestrian retrieval involves querying a database of images based on a given textual description to find matching images. The main challenge lies in learning how to map visual ...

Developing a Trauma-Informed Social Media Campaign to Disseminate Endometriosis-Specific Qualitative Art-Based Research Findings: Tutorial ...