Evan O'Brienlabsandprojects.hashnode.dev·Dec 3, 2024Sophisticated SSH server with AI and camera capabilitiesThis project is a combination of multiple camera and computer-vision technologies to form a cohesive demonstration. It is possible to connect via either a CLI shell or Web-based GUI to command an SSH server. This allows for the interaction with a con...DiscussAI
Fadhil Elrizandaelrizanda.hashnode.dev·Dec 2, 2024Understanding VGG Models: A Breakthrough in Deep LearningThe Visual Geometry Group (VGG), led by Karen Simoyan & Andrew Zisserman, introduced the groundbreaking concept of very deep convolutional network for large scale image recognition in 2014. This work invetigated how increasing the depth of convolutio...DiscussComputer Vision
Victor Zrobustramblings.hashnode.dev·Nov 30, 2024Paper summary - Making Convolutional Networks Shift-Invariant AgainTL; DR Many operations in a typical convolutional neural network down-sample the signal without accounting for aliasing. Aliasing causes frequency content that makes a classifier vulnerable to rotation and translations. Aliasing in CNNs Aliasing is a...DiscussAI Natural Robustness
Fadhil Elrizandaelrizanda.hashnode.dev·Nov 30, 2024Build and Understand LeNet 5 Architecture Using TensorFlowMachine learning algorithm especially in computer vision is rapidly developed. In order to achieve the rapidly algorithm development we must learn continuously from the basic. One of the basic is the development by Yann Lecun is LeNet. We will try to...DiscussTensorFlow
Fadhil Elrizandaelrizanda.hashnode.dev·Nov 29, 2024Understanding the 6 Levels of Autonomous Vehicle AutomationAutonomous vehicle (AV) become one of the most talked-about topics in recent years, drawing significant attention from both the public and the experts alike. AV technology offers the potential to revolutionized public transportation for elimination o...DiscussAutonomous vehicles
Gabi Dobocanblog.telepat.io·Nov 24, 2024PK-YOLO: Revolutionizing Brain Tumor Detection in MRIIntroduction Brain tumor detection is a critical and challenging task in medical imaging. The diverse structures and appearances presented in multiplanar MRI (Magnetic Resonance Imaging) slices complicate the detection process. Addressing this, a tea...DiscussBrain Tumor Detection
Victor Zrobustramblings.hashnode.dev·Nov 24, 2024Paper review - Exploring the landscape of spatial robustnessTL; DR Image classification model (probably vision models in general) are spatially brittle. Small combination of rotation and translation can radically change model output. Introduction The focus in on spatial robustness, i.e. small spatial transfor...DiscussAI Natural Robustness
Gabi Dobocanblog.telepat.io·Nov 22, 2024Monoplane: Transforming 3D Reconstructions from Simple ImagesUnderstanding Monoplane: A Leap in 3D Reconstruction from a Single Image When we talk about 3D vision, reconstructing 3D planes accurately from images is one of the essential challenges that technology aims to tackle. The paper "Monoplane: Exploiting...Discuss3D reconstruction
Gabi Dobocanblog.telepat.io·Nov 20, 2024Breaking Down the M3D Framework: A Leap in Single-View 3D ReconstructionIf you've ever marveled at a CAD model spun out of a single photo or felt the thrill of a VR experience crafted meticulously from simple inputs, you're witnessing the pinnacle of cutting-edge technological advancements. Single-view 3D reconstruction—...Discuss3d modeling
IT Path Solutionsitpathsolutions1.hashnode.dev·Nov 15, 2024Unlocking the Potential of Computer Vision: Benefits, Use Cases, Features, and Future TrendsComputer vision is a transformative technology that leverages artificial intelligence (AI) to enable machines to interpret and process visual data like humans. From healthcare to autonomous vehicles, computer vision is revolutionizing industries, mak...DiscussComputer Vision
