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Tag: cnn

ColonSegNet: A Lightweight Real-Time Colon Segmentation Architecture
Deep Learning

ColonSegNet: A Lightweight Real-Time Colon Segmentation Architecture

Nikhil Tomar24th January 2024
In the ever-evolving landscape of computer vision and medical imaging, achieving real-time performance in segmentation tasks is crucial. ColonSegNet, a novel encoder-decoder architecture, has emerged as a beacon of efficiency,...
Step-by-Step Guide to ResNet50 UNET in TensorFlow
Computer Vision Deep Learning TensorFlow

Step-by-Step Guide to ResNet50 UNET in TensorFlow

Nikhil Tomar21st January 202421st January 2024
Semantic segmentation, a crucial task in computer vision, plays a pivotal role in various applications such as medical image analysis, autonomous driving, and object recognition. In this tutorial, we will...
What is Conditional DCGAN
Computer Vision Deep Learning

What is Conditional DCGAN

Nikhil Tomar17th January 202417th January 2024
Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence by introducing a powerful framework for generating realistic data. Among various GAN architectures, Deep Convolutional Generative Adversarial Networks (DCGANs)...
Anime Face Generation with Deep Convolutional GANs (DCGAN)
Computer Vision TensorFlow

Anime Face Generation with Deep Convolutional GANs (DCGAN)

Nikhil Tomar12th January 202412th January 2024
Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence, enabling the creation of realistic images from scratch. In this tutorial, we'll dive into the implementation of a Deep...
Attention UNET in PyTorch
Computer Vision PyTorch

Attention UNET in PyTorch

Nikhil Tomar27th February 202327th February 2023
In this article, we are going to learn about the Attention UNET and then implement it in the PyTorch framework. Attention UNET is a type of Convolutional Neural Network (CNN)...
DeepLabV3+ ResNet50 Architecture in TensorFlow using Keras
Computer Vision Deep Learning TensorFlow

DeepLabV3+ ResNet50 Architecture in TensorFlow using Keras

Nikhil Tomar12th February 202317th February 2023
https://youtu.be/Ik85ry-Rf1g In today's tutorial, we will be looking at the DeepLabV3+ (ResNet50) architecture implementation in TensorFlow using Keras high-level API. Within this architecture, ResNet50 would be used as the encoder,...
What is MultiResUNET?
Computer Vision Deep Learning

What is MultiResUNET?

Nikhil Tomar8th February 20238th February 2023
MultiResUNET is an architecture developed by Nabil Ibtehaz et al. for the purpose of multimodal biomedical image segmentation at the Bangladesh University of Engineering and Technology. It is an improvement...
Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow
Computer Vision Deep Learning TensorFlow

Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow

Nikhil Tomar6th February 20236th February 2023
In recent years, advances in machine learning and deep learning techniques have revolutionized the field of computer vision. With the help of these techniques, we can now detect and identify...
[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation
Deep Learning

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

Nikhil Tomar3rd February 20233rd February 2023
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 inaccurate segmentation label...
What is U2-Net or U-square Net
Deep Learning

What is U2-Net or U-square Net

Nikhil Tomar1st February 20231st February 2023
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 ReSidual U-blocks (RSU)....

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