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Meta’s DINOv2: The Game-Changing Computer Vision AI Model that Doesn’t Need Fine-Tuning
Author(s): Sriram Parthasarathy Originally published on Towards AI. Building disruptive Computer Vision applications with No Fine-Tuning Imagine a world where computer vision models could learn from any set of images without relying on labels or fine-tuning. Sounds futuristic, right? Well, Meta AI …
Unlocking New Insights with Vision Transformer
Author(s): Anay Dongre Originally published on Towards AI. Image generated by DALL.E 2 The Vision Transformer (ViT) is a state-of-the-art deep learning model designed to process and interpret visual information. It utilizes a novel attention-based approach to identify key features and patterns …
Deep Learning for Space Exploration
Author(s): Argo Saakyan Originally published on Towards AI. NASA, ESA, CSA, and STScI — Stephan’s Quintet I was always obsessed with space and neural nets. As a Computer Vision Researcher, I see a lot of opportunities for Deep Learning in space exploration. …
Introduction
Author(s): Mohammad Javadian Farzaneh Originally published on Towards AI. Visual SLAM, A Booster Overview Part 1 Photo by Andrew Neel on Unsplash Purpose of Writing SLAM is one of the machine vision concepts that is widely used in robotics. My Master’s thesis …
Image Processing with Fourier Transform
Author(s): Albert Nguyen Originally published on Towards AI. Top highlight Image Processing is a crucial task in Computer Vision. For example, when we train a Deep Learning model with a small amount of image data, we need to synthesize new images using …
I spent $15 in DALL·E 2 credits creating this AI image, and here’s what I learned
Author(s): Joy Zhang Yes, that’s a llama dunking a basketball. A summary of the process, limitations, and lessons learned while experimenting with the closed Beta version of DALL·E 2. Llama playing basketball, generated using DALL·E 2 by author. I’ve been dying to …
Neural Style Transfer Using a Simple Python Library
Author(s): Divy Shah A guide to neural style transfer using the neural-style-transfer python library In this tutorial, we will learn how to use the neural-style-transfer library to compose images in the style of other images using just a few lines of code. Neural …
Training Faster R-CNN Using TensorFlow’s Object Detection API with a Custom Dataset
Author(s): Towards AI Team Step-by-step tutorial to train a faster R-CNN for object detection with TensorFlow using a custom dataset Continue reading on Towards AI » Published via Towards AI …
OpenAI’s DALL·E: Text-to-Image Generation Explained
Author(s): Louis (What’s AI) Bouchard OpenAI just released the paper explaining how DALL-E works! It is called “Zero-Shot Text-to-Image Generation”. Continue reading on Towards AI » Published via Towards AI …
Paper Explained: TransGAN — Two Transformers can make One Strong GAN
Author(s): Vatsal Saglani A CNN free GAN network Continue reading on Towards AI » Published via Towards AI …
ROI based Hybrid Lossy and Lossless Image Compression
Author(s): Mahisha Patel Computer Vision You don’t always need an entire high-quality image for insights! Photo by Anna Shvets from Pexels This article aims to present the amalgamation of lossy and lossless compression for building a hybrid approach based on Region Of Interest …
ShaRF: Take a Picture From a Real-Life Object, and Create a 3D Model of It
Author(s): Louis (What’s AI) Bouchard Just imagine how cool it would be to just take a picture of an object and have it in 3D to insert in the movie or video game you are… Continue reading on Towards AI » Published …
Popular Datasets for 3D Human Pose Estimation
Author(s): Muhamed Kouate Acquire the knowledge to interpret and create your own datasets Continue reading on Towards AI » Published via Towards AI …
What is CLIP (Contrastive Language — Image Pre-training) and how it can be used for semantic image…
Author(s): Vatsal Saglani Deep Learning way to search images Continue reading on Towards AI » Published via Towards AI …
Facial Analysis With Masks? Learn How To Achieve 96% Accuracy
Author(s): Panos Moutafis, Ph.D., Rakshak Talwar, Mary Lim Masks and face coverings are here to stay. This is a guide for training robust AI models without crossing the privacy line. The Zenus co-founders demonstrating live facial analysis with masks. Full video available on this link. …
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