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 ...
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DETR: Overview and Inference
In the groundbreaking paper “Attention is all you need”, Transformers architecture was introduced for sequence to sequence tasks in NLP. Models like Bert, GPT were built on the top of Transformers ...
YOLO11: Redefining Real-Time Object Detection
YOLO11 is finally here, revealed at the exciting Ultralytics YOLO Vision 2024 (YV24) event. 2024 is a year of YOLO models. After the release of YOLOv8 in 2023, we got YOLOv9 and YOLOv10 this year, and ...
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 ...
Building Autonomous Vehicle in Carla: Path Following with PID Control & ROS 2
Robotics, once a specialized and niche field, has surged into the mainstream with the rapid development of autonomous vehicles, quadruped robots, and humanoids. What’s fueling this revolution? The ...
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 ...
