CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
Learn semi-supervised video object segmentation using capsule routing, exploring capsule networks, video capsules, and advanced techniques for improved accuracy and efficiency in computer vision tasks.
Subspace Capsule Network
Explore Subspace Capsule Networks: a novel approach to neural networks that preserves information, norms, and angles. Learn about its principles, applications, and advantages in image classification and generation.
Capsule Networks for Computer Vision – CVPR 2019 Tutorial
Explore capsule networks for computer vision, covering architecture, challenges, applications, and advancements in this cutting-edge deep learning approach.
Capsule Networks - A Survey by Dr. Yogesh Rawat, UCF
Explore capsule networks in computer vision, covering dynamic routing, equivariance, and applications in segmentation, localization, and medical imaging.
Generalization to Video Capsules - From Convolutional to Video Capsule Networks
Explore video capsule networks for action detection and object segmentation, including multi-modal approaches and semi-supervised techniques for improved performance in computer vision tasks.
Introduction to Capsule Networks for Computer Vision
Explore Capsule Networks for computer vision, covering sparse pattern recognition, viewpoint equivariance, object detection, and dynamic routing techniques.
VideoCapsuleNet - A Simplified Network for Action Detection
Explore VideoCapsuleNet, a simplified network for action detection in videos. Learn about capsule networks, convolutional layers, and innovative techniques for improved video analysis.
Dynamic Routing Between Capsules
Explore capsule networks, routing-by-agreement, and their applications in computer vision, with a focus on MNIST and multiMNIST datasets.
Visual Question Answering: Grounded Systems and Transformer Capsules
Learn about Grounded Visual Question Answering systems, their limitations, and innovative approaches using Transformers with Capsules for improved performance in image-text understanding tasks.
Capsule Networks: An Introduction
Explore capsule networks and their potential to revolutionize computer vision, addressing limitations of convolutional neural networks in image recognition tasks.
How to Represent Part-Whole Hierarchies in a Neural Network - Geoff Hinton's Paper Explained
Explore GLOM, a novel computer vision model combining transformers, neural fields, and capsule networks to dynamically construct parse trees for object recognition and scene understanding.
Dynamic Routing Between Capsules
Explore Capsule Networks, a novel neural network architecture using capsules and dynamic routing for improved object recognition and handling of spatial relationships.
HATS - Catch Up with Ero Carrera and Sergey Lozhkin
Insightful discussion with cybersecurity experts Ero Carrera and Sergey Lozhkin on advanced threat analysis, reverse engineering, and the role of AI/ML in cybersecurity at HITB2021AMS.
Capsule Network-based Framework for Identification of COVID Cases from X-ray Images
Explore a Capsule Network framework for COVID-19 detection in X-ray images, addressing small dataset challenges and outperforming CNN models.