Computer Vision
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
This articles discussed Training 3D U-Net for Brain Tumor Segmentation - BraTS2023. Glioma Detection It touches upon the importance of 3D U-Net over 2D U-Net for MRI Brain Scans.
This blog goes through the architecture of DETR
YOLO11 is here! Continuing the legacy of the YOLO series, YOLO11 sets new standards in speed and efficiency. With enhanced architecture and multi-task capabilities, it outperforms previous models, making it
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 processing (NLP)
The article primarily discusses capabilities Sapiens a foundational human vision model by meta, achieves state-of-the-art performance in tasks like 2D pose estimation, body-part segmentation, normal and depth estimation.
Performing RAG on Unstructured elements that too in complex pdfs like finance, law reports is challenging. ColPali a novel document retrieval approach achieves SOTA results with high quality retrieval. This
This article discusses how to train a CLIP like model from scratch. It presents gradio app for Fashion E-commerce Image Retrieval using Text search in PyTorch.
LiDAR SLAM is a crucial component in robotics perception, widely used in both industry and academia for its efficiency and robustness in localization and mapping. In robotics perception research, LiDAR
Feature matching using deep learning is a game-changer for computer vision tasks like panorama stitching, video stabilization, and face recognition, providing greater accuracy and reliability. Dive into how this technology
ROS (Robot Operating System) is more than a decade old open-source robotics middleware software, initially developed by two PhD students from Stanford University. Fast-forward to 2024, ROS has evolved into
This article gives an overview about the key research papers and dataset from CVPR 2024 along with repository links.
