In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer ...
Mask R-CNN Instance Segmentation with PyTorch
In this post, we will discuss a bit of theory behind Mask R-CNN and how to use the pre-trained Mask R-CNN model in PyTorch. This post is part of ...
Faster R-CNN Object Detection with PyTorch
In this post, we will cover Faster R-CNN object detection with PyTorch. We will learn the evolution of object detection from R-CNN to Fast R-CNN to ...
PyTorch for Beginners: Semantic Segmentation using torchvision
This post is part of the series in which we are going to cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation ...
PyTorch for Beginners: Image Classification using Pre-trained models
Comparison of different models on the basis of Accuracy, Speed and Model Size This post is part of the series in which we are going to cover the ...