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Last updated: Feb 25, 2022

Computer Vision Concepts

Working with images necessitates an understanding of some concepts and theory, which will undoubtedly aid in achieving greater efficiency with fewer inputs. Algorithms such as feature detection and selection, as well as GAN applications, are important features in computer vision.
Homography EASY
In this article, you will understand what is Homography and its basic implementation.
Object Detection Using Deep Learning
This article aims to understand Object Detection using Deep Learning
Human Detection in Computer Vision EASY
This blog discusses various techniques used to detect humans in an image or video.
Noise Tolerance in Computer Vision MEDIUM
This blog will discuss Computer vision and various noise-tolerance techniques with some types and implementation with output.
OpenCV Python Tutorial MEDIUM
In this article, we will see the concept of computer vision. We will see the OpenCV Python library, its installation, and related operations.
Detectron2 for Object Detection HARD
Various aspects of Detectron2 for Object Detection in detail and in brief about Detectron2
Visual QA
This blog offers a detailed guide for understanding Visual Question Answering and how to implement it. To know more about it, read on!
Transformer Network
This article will study transformers, why we use them, and their applications. Lastly, we will have a detailed description of its architecture.
Spatial Transformer Network EASY
In this article, we will discuss the concept of STN (spatial transformer network). Also, we will see the computations that are needed for STNs.
In this article, we will discuss the concept and the architecture of a pixel recurrent neural network. Also, will see how it is used in image classification tasks.