Attention UNET and its Implementation in TensorFlow
In the article, we will go through the paper Attention U-Net: Learning Where to Look for the Pancreas. It was written by Ozan Oktay et. al in the year 2018...
Logistic Regression in TensorFlow
Logistic Regression is a popular machine-learning algorithm that is used for classification tasks. In this tutorial, we will learn how to implement Logistic Regression in TensorFlow 2.0 using the tf.keras.Model...
DeepLabV3+ ResNet50 Architecture in TensorFlow using Keras
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,...
Image Segmentation-based Background Removal in TensorFlow
Image segmentation is an important area of computer vision that involves dividing an image into multiple segments, each of which corresponds to a different object. Background removal is one of...
Exploring Bounding Boxes and Different Annotation Formats in Object Detection
Bounding boxes play a critical role in the object detection process, a fundamental task in computer vision. Object detection entails the identification and precise localization of objects within an image....
Large File Transfer using TCP Socket in Python
File transfer has been one of many tasks in socket programming. In this article, we will discuss how to transfer large files using TCP sockets in Python. TCP (Transmission Control...
What is MultiResUNET?
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...
What is Intersection over Union (IoU) in Object Detection?
Intersection over Union (IoU) is a popular evaluation metric used in the field of computer vision and object detection. It is used to calculate the overlap between two bounding boxes...
Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow
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...
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[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 inaccurate segmentation label...