Supervised Learning has been dominant for years, but its reliance on labeled data—a costly and time-consuming resource—creates challenges, especially in areas like medical imaging. On the other hand, ...
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Stable Diffusion 3.5: Paper Explanation and Inference
Stable Diffusion 3.5, released on June 2024 by Stability AI, is the third iteration in the Stable Diffusion family. The Turbo-Large and Large variants of the SD3.5 family are Stability AI’s most ...
NVIDIA AI Summit 2024 – India Overview
The NVIDIA AI Summit 2024, held from October 23 to 25 at the Jio World Convention Centre in Mumbai, marked a significant milestone in India's journey toward becoming a global leader in artificial ...
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 ...
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 ...
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 ...
