In many computer vision applications, the processing power at your disposal is low. In such cases, we have to use simple, yet effective techniques. ...
Applications of Foreground-Background separation with Semantic Segmentation
In our previous post, we learned what is semantic segmentation and how to use DeepLab v3 in PyTorch to get an RGB mask of the detected labels within ...
EfficientNet: Theory + Code
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 ...