Harness DINOv2 Embeddings for Accurate Image Classification
Author(s): Lihi Gur Arie, PhD Originally published on Towards AI. Introduction Training a high-performing image classifier typically requires large amounts of labeled data. But what if you could achieve top-tier results with minimal data and light training? DINOv2 is a powerful vision …
Autonomous Horizons: How AI is Steering the Next Generation of Transportation
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Gabriele Malaspina on Unsplash Artificial intelligence (AI) has advanced from a theoretical concept to a revolutionary force in a variety of industries, with the automobile sector at the vanguard. AI is transforming …
Improved PyTorch Models in Minutes with Perforated Backpropagation — Step-by-Step Guide
Author(s): Dr. Rorry Brenner Originally published on Towards AI. Perforated Backpropagation is an optimization technique which leverages a new type of artificial neuron, bringing a long overdue update to the current model based on 1943 neuroscience. The new neuron instantiates the concept …
Exploring MobileCLIP: A lightweight solution for Zero-Shot Image Classification
Author(s): Antonio Guerra Originally published on Towards AI. Exploring MobileCLIP: A lightweight solution for Zero-Shot Image Classification An example of a Zero-Shot Image Classification Model identifying a cat in an image with class probabilities for “cat”, “dog”, and “bird” (source: https://huggingface.co/tasks/zero-shot-image-classification) Introduction …
NN#11 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. Limitations of ANNs: Move to Convolutional Neural Networks This member-only story is on us. Upgrade to access all of Medium. The journey from traditional neural networks to convolutional architectures wasn’t just a technical evolution …
Built a Computer Vision-Powered App Using Gemini in Under 15 Minutes — No Training Required
Author(s): Areeb Adnan Khan Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Machine Learning Algorithm Illustration: Source Getty Images Computer Vision is booming, and with the rise of multi modal AI models, it’s …
Important Computer Vision Papers for the Week from 27/01 to 01/02
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research This member-only story is on us. Upgrade to access all of Medium. Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in diffusion …
Creating Beyond the Frame: A Practical Guide to Image Outpainting with Stable Diffusion
Author(s): Vincent Liu Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Figure 1. Example of image outpainting. Source: Photo by Jon Tyson on Unsplash, modified by author. In a world where artificial intelligence …
How to Explain Black-Box Deep Learning Models in Computer Vision and NLP
Author(s): Chien Vu Originally published on Towards AI. Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Let’s explore how to use the OmniXAI package in Python to examine and understand how …
Important Computer Vision Papers for the Week from 20/01 to 26/01
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research This member-only story is on us. Upgrade to access all of Medium. Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in diffusion …
Image Segmentation Made Easy: A Guide to Ilastik and EasIlastik for Non-Experts
Author(s): Titouan Le Gourrierec Originally published on Towards AI. Example of the results obtainable after this tutorial (by author) Introduction Image segmentation plays a key role in various fields, from identifying cells in biological research to analyzing regions in satellite imagery. However, …
Creating Custom Image Filters With Opencv
Author(s): Parth Mahakal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author A variety of different artistic, and stylistic, optical image-capture methods are offered by this group of filters. The Thermal …
Making Red Light Green Light Game Possible With Computer Vision?
Author(s): Parth Mahakal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author Red Light, Green Light in North America, and Grandma’s/ Grandmother’s Footsteps or Fairy Footsteps in the United Kingdom is …
Understanding Vision Transformers (ViTs)
Author(s): Yash Thube Originally published on Towards AI. Understanding Vision Transformers (ViTs) And what I learned while implementing them! Transformers have revolutionized natural language processing (NLP), powering models like GPT and BERT. But recently, they’ve also been making waves in computer vision. …
AlexNet: The Deep Learning Breakthrough That Changed Computer Vision
Author(s): Kshitij Darwhekar Originally published on Towards AI. This article delves into AlexNet’s journey, from its groundbreaking architecture and innovations to its lasting impact on the field of deep learning. Explore the key features, techniques to reduce overfitting, and its legacy in …
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