… recognition, aerial photogrammetry, video motion estimation, image retrieval and so on. In
remote sensing image processing, image matching technology is applied to positioning and …

… , and the current mainstream lip reading methods are combed, categorized and reviewed
as well, including traditional methods and recent methods based on deep learning. Finally, the …

… Methods—We collated outcome data for patients who were enrolled after 3 hours of stroke
… on pretreatment imaging. We selected the trials on the basis of a systematic search of the …

… semantic scene images including multiple concepts that describe … Web image retrieval,
we propose a novel approach called multi-modal deep learning based Semantic Scene Image …

… As image recognition is often limited by insufficient visual information, … of image search.
Therefore, we present a learning algorithm to boost the image similarity measure for image re-…

… the field of image retrieval, but the application in the field of medical images is relatively
small. For this, an improved Vision Transformer Hashing algorithm for medical image retrieval is …

… of multimodal retrieval in medicine, and provides a prospect for the future multi-modal retrieval
in medicine… Cross-modality medical image retrieval with deep features[C]//Proceedings of …

… with image, we introduced a multi-modal preprocessing approach that first handles text and
image … The experiment shows that the multi-modal preprocessing and the hybrid model can …

… Crossmodal image-text retrieval involves retrieving relevant images or texts based on a
query … such as e-commerce product search and medical image retrieval. Traditional retrieval …

… It reasonable to believe that multi-modal methods involving a higher ability to process complex
… Deep learning for contentbased image retrieval: a comprehensive study // Proceedings of …