Visual Imagery

Visual imagery research focuses on understanding how visual information is processed, represented, and utilized by both humans and machines. Current research emphasizes developing robust models for image generation, classification, and analysis, often employing deep learning architectures like convolutional neural networks (CNNs) and transformers, along with techniques such as contrastive learning and knowledge distillation to improve efficiency and accuracy. This field is crucial for advancements in various applications, including remote sensing, medical imaging, accessibility technologies for people with disabilities, and combating the spread of misinformation through AI-generated imagery.