Efficient Biomedical Segmentation When Only a Few Label Images Are Available
Author(s): Makoto TAKAMATSU A Proposal for State-of-the-Art Unsupervised Segmentation Using Contrastive Learning Continue reading on Towards AI » Published via Towards AI …
Making Hyper-personalized Books for Children: Faceswap on Illustrations
Author(s): Francesco Fumagalli Computer Vision Stories have always been part of human nature: we’ve been telling stories to children for as long as we’ve been around, to teach them about life, to warn them about dangers, to build up their character without …
AutoSIRDS — Using single image depth estimation to create Single Image Random Dot Stereograms
Author(s): Robin T. White, PhD A full playground using Google Colab and TF Hub Continue reading on Towards AI » Published via Towards AI …
Using Computer Vision and Topic Modeling to Increase Brand Engagement on Instagram: The Case of…
Author(s): Aadit Barua By Aadit Barua and Josh Barua Continue reading on Towards AI » Published via Towards AI …
GAN Training Breakthrough for Limited Data Applications & New NVIDIA Program! NVIDIA Research
Author(s): Louis (What’s AI) Bouchard With this new training method developed by NVIDIA, you can train a powerful generative model with one-tenth fewer images! Making possible… Continue reading on Towards AI » Published via Towards AI …
Making Video Conferencing more Accessible with Machine Learning
Author(s): Jay Gupta Computer Vision, Machine Learning Learn to build an Azure-powered pipeline for the visually impaired or with other disorders Photo by Josh Calabrese on Unsplash The COVID-19 pandemic has pushed organizations to the edge, with most employers resorting to Work-from-Home (WFH) arrangements. …
AI Generates 3D high-resolution reconstructions of people from 2D images | Introduction to PIFuHD
Author(s): Louis (What’s AI) Bouchard This AI Generates 3D high-resolution reconstructions of people from 2D images! It only needs a single image of you to generate a 3D… Continue reading on Towards AI » …
Morphable Model Explained
Author(s): Anton Lebedev Morphable 3D models are generative models with an intuitive user interface. Let’s find out how they work and build one 3D foot model build by the Neatsy app. 3D modeling is becoming a prominent part of computer science. It is more …
Build Natural Flower Classifier using Amazon Rekognition Custom Labels
Author(s): Juv Chan Computer Vision Building Natural Flower Classifier using Amazon Rekognition Custom Labels The Complete Guide with AWS Best Practices Image by Gerhard G. from Pixabay Introduction Building your own computer vision model from scratch can be fun and fulfilling. You get to …
Color Theory in Computer Vision
Author(s): Akula Hemanth Kumar Computer Vision Making computer vision easy with Monk, a low code Deep Learning tool, and a unified wrapper for Computer Vision. Photo by Paweł Czerwiński on Unsplash Color Vision Source History of Color theory: Color model from the book “Theory of …
Video to Text Description Using Deep Learning and Transformers | COOT
Author(s): Louis (What’s AI) Bouchard This new model published in the NeurIPS2020 conference uses transformers to generate accurate text descriptions for each sequence of a… Continue reading on Towards AI » Published via Towards AI …
OpenCV 101 and Instagram Filters
Author(s): Rahul Banerjee This tutorial will be a basic introduction to OpenCV and some basic Instagram filters. Continue reading on Towards AI » Published via Towards AI …
This AI takes a video and fills the missing pixels behind an object!
Author(s): Louis (What’s AI) Bouchard Video Inpainting — Microsoft Research Continue reading on Towards AI » Published via Towards AI …
In-Depth Analysis of Identification Documents Through Vision AI
Author(s): Sean Chua Artificial Intelligence, Computer Vision Source: Vecteezy Author(s): Sean Chua, Martin Gomez After many years abroad, Juan finally had a good reason to go back home to Iloilo in the Philippines. His parents and wife are in the vibrant festival city, and …