Abstract: Pre-trained Vision-Language Models (VLMs) are often used to tackle the challenging task of Open-vocabulary Segmentation (OVS). To preserve the valuable pre-trained knowledge of VLM-based ...
TCT 22: Comparative Outcomes and Predictors in Transcatheter Aortic Valve Implantation: A SEV vs BEV Analysis, data from the GREEK TAVI REGISTRY Receive the the latest news, research, and ...
When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is under scrutiny for instance, its different parts ...
Abstract: While generative large language models exhibit robust capabilities in multi-task scenarios, they struggle with fine-grained semantic understanding tasks, particularly for languages lacking ...
CoLeM framework is a table model based on contrastive learning techniques for solving the problem of Column Type Annotation. RuTaBERT is a framework for solving column type and property annotation ...
ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
I saw this message after downloading your provided pre-trained model from Google Drive and type the unzip pretrained_model.zip command. Archive: pretrained_model.zip warning [pretrained_model.zip]: ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results