Mask (computing)

Image Recognition and Python Part 1

Sample code for this series: http://pythonprogramming.net/image-recognition-python/ There are many applications for image recognition. One of the largest that people are most familiar with would be facial recognition, which is the art of matching faces in pictures to identities. Image rec

From playlist Image Recognition

3D Printed Face Shield | Soda Bottle

I’m not an expert in this area and I didn't create this design, but I wanted to bring awareness to the fact that you can create a face shield using a 3D printer and a clear 2 liter soda bottle. This design can help prevent yourself from touching your face and can be used in conjunction wit

From playlist 3D Printing

Why Masks Work BETTER Than You'd Think

Thanks to the Heising-Simons foundation for their support: https://www.hsfoundation.org (their COVID-19 grants: https://www.hsfoundation.org/grants/covid-19-response-grants/ ) Check out https://aatishb.com/maskmath to explore and for references. This video is about how masks (whether surg

From playlist MinutePhysics

How does facial recognition work?

Although people have known about the facial recognition technology for some time now, advances in deep learning and faster processing of big data has helped it develop more and more in a short time. The global facial recognition market is growing each and every year. It is being used i

From playlist Radical Innovations

Is Wearing a Mask Effective Against Viruses?

As more and more places in the US implement mask mandates, it’s important we understand the science behind masks and the effectiveness of even a simple cloth mask. Here’s a decent number of sources, both studies and topical summaries from researchers, on the efficacy of mask wearing. Watc

From playlist Concerning Questions

Facial Recognition Advertising Is Actually a Thing

Facial recognition advertising as depicted in Minority Report is coming to your local stores sooner than you thought. The technology is becoming so mainstream it will become a part of the new social contract. Several US retailers, including Walgreens and Kroger, are piloting facial recogn

From playlist Decrypted Lies

Silicone Creature Masks at Monsterpalooza 2022!

We're reunited with our friends at Immortal Masks to see how they've been doing in the three years since we last saw them at Monsterpalooza! George from Immortal Masks shows us some of their latest creature masks, which incorporate lights, simulate hard-edge materials, and push the limits

From playlist Costumes and Props

How Lifelike FX Creature Masks are Made

Halloween's coming up, and we're looking for the best ways to transform into a terrifying creature of the night. Monster masks have been a longstanding horror effects tradition, and today's masks are more lifelike than ever. We visit the workshop of Immortal Masks to learn how the artists

From playlist Costumes and Props

How To Do Face Detection And Tagging In Video With Deep Learning | Introduction | #AI

Don’t forget to subscribe! In this project series, you will learn how to do face detection and tagging in video with deep learning. In this project, you are going to learn how to use deep neural networks for face detection, tracking, and redaction. Face recognition is a broad problem o

From playlist Face Detection And Tagging In Video With Deep Learning

Masked Autoencoders Are Scalable Vision Learners – Paper explained and animated!

“Masked Autoencoders Are Scalable Vision Learners” paper explained by Ms. Coffee Bean. Say goodbye to contrastive learning and say hello (again) to autoencoders in #ComputerVision! Love the simple, yet elegant idea! ► Check out our sponsor: Weights & Biases 👉 https://wandb.me/ai-coffee-br

From playlist The Transformer explained by Ms. Coffee Bean

3.5 Addressing with IPv4

From playlist Internetworking with TCP/IP by Prof. Dr. Christoph Meinel

Mask Region based Convolution Neural Networks - EXPLAINED!

In this video, we will take a look at new type of neural network architecture called "Masked Region based Convolution Neural Networks", Masked R-CNN for short. And in the process, highlight some key sub problems in computer vision. Please SUBSCRIBE to the channel for more content on Machi

From playlist Deep Learning Research Papers

Stanford CS330 I Unsupervised Pre-training for Few-shot Learning l 2022 I Lecture 8

Unsupervised pre-training for few-shot learning, vol. 2: reconstruction-based methods For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course, visit: https://cs330.stanford.edu/ To view all online courses and

From playlist Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022

Neural networks [7.5] : Deep learning - dropout

From playlist Neural networks class - Université de Sherbrooke

Transformers - Part 7 - Decoder (2): masked self-attention

This is the second video on the decoder layer of the transformer. Here we describe the masked self-attention layer in detail. The video is part of a series of videos on the transformer architecture, https://arxiv.org/abs/1706.03762. You can find the complete series and a longer motivation

From playlist A series of videos on the transformer

DeepMind DetCon: Efficient Visual Pretraining with Contrastive Detection | Paper Explained

📢 SUBSCRIBE TO MY MONTHLY AI NEWSLETTER: Substack ► https://aiepiphany.substack.com/ 👨‍👩‍👧‍👦 JOIN OUR DISCORD COMMUNITY: Discord ► https://discord.gg/peBrCpheKE ❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany In this video, I cover DetCon: Efficient Visual P

From playlist Self-supervised learning

OpenCV Course - Full Tutorial with Python

Learn everything you need to know about OpenCV in this full course for beginners. You will learn the very basics (reading images and videos, image transformations) to more advanced concepts (color spaces, edge detection). Towards the end, you'll have hands-on experience building a Deep Com

From playlist Machine Learning

Azure Custom Vision for Beginners

Azure Custom Vision is an image recognition service that lets you build, deploy, and improve your own computer vision models in the cloud. The Custom Vision service uses a machine learning algorithm to analyze images. You, the developer, submit groups of images that feature and lack the c

From playlist Short Crash Courses for Data Science & Data Engineering

How To Do Face Detection And Tagging In Video With Deep Learning | Session 03 | #AI

Don’t forget to subscribe! In this project series, you will learn how to do face detection and tagging in video with deep learning. In this project, you are going to learn how to use deep neural networks for face detection, tracking, and redaction. Face recognition is a broad problem o

From playlist Face Detection And Tagging In Video With Deep Learning

Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA

Recorded 02 December 2022. Palina Salanevich of Utrecht University Department of Mathematics presents "STFT Phase retrieval: robustness and generative priors" at IPAM's Multi-Modal Imaging with Deep Learning and Modeling Workshop. Abstract: Phase retrieval is the non-convex inverse problem

From playlist 2022 Multi-Modal Imaging with Deep Learning and Modeling