We often take out our phones and say, “Hey Siri, play Perfect by Ed Sheeran” or “Ok Google, set an alarm at 7.30 in the morning.” And the work is done on the flow by our phones! But have you ever ...
Training 3D U-Net for Brain Tumor Segmentation Challenge – Medical Imaging
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 ...
Exploring DINO: Self-Supervised Transformers for Road Segmentation with ResNet50 and U-Net
DINO is a self-supervised learning (SSL) framework that uses the Vision Transformer (ViT) as it's core architecture. While SSL initially gained popularity through its use in natural language ...
Sapiens: Foundation for Human Vision Models by Meta
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: Enhancing Financial Report Analysis with Multimodal RAG and Gemini
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 ...
Handwritten Text Recognition using OCR
Handwritten text documents are ubiquitous in the field of research and study. They are personalized to the user’s needs and often contain a style of writing difficult to comprehend by others. This ...
