Image Search

Image search aims to retrieve images relevant to a given query, whether textual or visual, with current research focusing on improving accuracy, efficiency, and scalability. This involves developing novel architectures like transformers and diffusion models, as well as exploring techniques such as multimodal fusion, query rewriting, and memory-efficient similarity estimation to handle large-scale datasets and complex queries. The field's impact spans diverse applications, from e-commerce and medical diagnostics to visual surveillance and assisting large language models in knowledge-intensive tasks.