cnn
This article gives an overview about the key research papers and dataset from CVPR 2024 along with repository links.
This article discusses the working of Convolutional Neural Networks on depth for image classification along with diving deeper into the detailed operations of CNN.
In this post, we’ll learn how to implement a Convolutional Neural Network (CNN) from scratch using Keras. Here, we show a CNN architecture similar to the structure of VGG-16 but
YOLOX object detector is a recent addition in the YOLO family. Read the article for detailed YOLOX paper explanation and learn how to train YOLOX on a custom dataset.
This is the third blog post in the Oak series. If you haven’t checked out the previous posts on OAK, check them below. In this post, we are going to
In this post, we will learn about Video Classification. We will go over a number of approaches to make a video classifier for Human Activity Recognition. Basically, you will learn
In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network
In this tutorial, we will discuss an interesting application of Deep Learning applied to faces. We will estimate the age and figure out the gender of the person from a
A few weeks back we wrote a post on Object detection using YOLOv3. In this post we will discuss Mask RCNN in OpenCV. The output of an object detector is
Sometimes technology enhances art. Sometimes it vandalizes it. Colorizing black and white films is an ancient idea dating back to 1902. For decades many movie creators opposed the idea of
In this post, we will learn about a Deep Learning based object tracking algorithm called GOTURN. The original implementation of GOTURN is in Caffe, but it has been ported to
This summer I am doing an internship at Big Vision LLC under the guidance of Dr. Satya Mallick. In this post, I will describe the problem I was asked to
