[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation

Transformer-based models have shown remarkable progress in the field of medical image segmentation. However, the existing methods still suffer from limitations such as loss of information and…

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What is U2-Net or U-square Net

U2-Net is a simple and powerful architecture designed for the purpose of salient object detection (SOD). It is a two-level nested U-shaped architecture built using the proposed…

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Object Detection

Simple Object Detection with Bounding Box Regression in TensorFlow

Object detection is a fundamental task in computer vision that involves identifying and locating objects within an image or video. In this post, we will be discussing…

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TensorFlow vs PyTorch

TensorFlow and PyTorch are both popular open-source frameworks for building and training machine learning models. Both frameworks have their own strengths and weaknesses, and the choice between…

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Implementing Linear Regression in TensorFlow

TensorFlow is a powerful library for machine learning that allows for the easy implementation of various algorithms, including linear regression. In this tutorial, we will be using…

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What is ChatGPT?

ChatGPT is a state-of-the-art natural language processing model developed by OpenAI. It is based on transformer architecture and is trained on a massive amount of conversational data….

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Activation Function – Basics of Deep Learning

Deep learning is a subset of machine learning that utilizes neural networks with multiple layers to analyze and identify patterns in data. One of the key components…

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MobileViT architecture

What is MobileViT?

This article covers an overall summary of the MobileViT: Light-Weight, General-Purpose, and Mobile-Friendly Vision Transformers research paper. MobileViT is a lightweight and general-purpose vision transformer for mobile…

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Vision Transformer

Vision Transformer – An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

In this blog post, we are going to learn about the Vision Transformer (ViT). It is a pure Transformer based architecture used for image classification tasks. Vision…

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MODNet Architecture

MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition

In this work, we present a lightweight matting objective decomposition network (MODNet) for portrait matting in real-time with a single input image. MODNet inputs a single RGB…

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