LightRAG is an innovative approach based on GraphRAG that combines the attributes of Knowledge Graphs with embedding-based retrieval systems, making it fast as well as performant, achieving SOTA ...
3D U-Net, a powerful deep learning architecture for medical image segmentation, is designed to process 3D volumetric data like brain tumors, enabling a more comprehensive and precise analysis of brain ...
Sapiens, a family of foundational Human Vision Models by Rawal et al., from Meta, achieves state-of-the-art results for human centric tasks like 2D pose estimation, body-part segmentation, depth ...
ColPali multimodal RAG offers a novel approach for efficient retrieval of elements such as images, tables, charts, and texts by treating each page as an image. This method takes advantage of Vision ...
Contrastive Language Image Pretraining (CLIP) by OpenAI is a model that connects text and images, allowing it to recognize and categorize images without needing specific training for each category. ...
CVPR 2024 (Computer Vision and Pattern Recognition) is an annual conference held from June 17th to 21st at the Seattle Convention Center, USA, which was a huge success. The IEEE CVPR 2024 Research ...
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