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Enhancing AI-Powered Computer Vision Through Physics-Awareness

Unite.AI

In a pioneering effort to further enhance AI capabilities, researchers from UCLA and the United States Army Research Laboratory have unveiled a unique approach that marries physics-awareness with data-driven techniques in AI-powered computer vision technologies.

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Deep Residual Learning for Image Recognition (ResNet Explained)

Analytics Vidhya

Introduction Deep learning has revolutionized computer vision and paved the way for numerous breakthroughs in the last few years. One of the key breakthroughs in deep learning is the ResNet architecture, introduced in 2015 by Microsoft Research.

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SEER: A Breakthrough in Self-Supervised Computer Vision Models?

Unite.AI

The SEER model by Facebook AI aims at maximizing the capabilities of self-supervised learning in the field of computer vision. The Need for Self-Supervised Learning in Computer Vision Data annotation or data labeling is a pre-processing stage in the development of machine learning & artificial intelligence models.

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Computer Vision and Deep Learning for Education

PyImageSearch

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Or requires a degree in computer science? That’s not the case.

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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Photogrammetry Explained: From Multi-View Stereo to Structure from Motion

PyImageSearch

This blog post is the 1st of a 3-part series on 3D Reconstruction: Photogrammetry Explained: From Multi-View Stereo to Structure from Motion (this blog post) 3D Reconstruction: Have NeRFs Removed the Need for Photogrammetry? To learn about 3D Reconstruction, just keep reading. 3D Gaussian Splatting: The End Game of 3D Reconstruction?

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Deep Learning Techniques for Autonomous Driving: An Overview

Marktechpost

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.