Object Detection

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Artificial Intelligence

Introduction to Autonomous Vehicle Theory

Autonomous vehicles are on of the most exciting, up-and-coming applications of deep learning to hit the public. In this guide, you will learn about the theory behind these vehicles and the relevant ML tools leveraged to make them work.

By Kumari Surya Remanan

• 4 months ago

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Tutorial

Understanding Hough Transform With A Lane Detection Model

Paperspace contributor Nigama Vykari guides us through use of the Hough transform feature extraction technique in the context of lane detection for self-driving cars.

By Nigama Vykari

• 6 months ago

Object Detection public

Understanding The CANet Architecture From Scratch

The Chained Context Aggregation Network (CANet) is a special image segmentation network that employs an asymmetric decoder to recover precise spatial details of prediction maps.

By Bharath K

• 6 months ago

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Neural Network

U-Net Architecture For Image Segmentation

Image segmentation makes it easier to work with computer vision applications. Here we look at U-Net, a convolutional neural network designed for biomedical applications.

By Bharath K

• 7 months ago