A Large Covid-19 CT Scans Dataset Inthis story, I aim to introduce the new CT scans dataset that contains covid and normal cases. This dataset is one of the largest open-source datasets that has been proposed by now.This dataset contains the...

How to detect motile objects in video frames more accurately with deep learning? Object detection has been one of the most challenging subjects in computer vision. Since the advent of deep convolutional networks, object detection has been improved a lot....

Feature pyramid network for image classification Object detection is one of the main problems in computer vision that may fail when there are multi-scale objects in images. Using feature pyramids helps to solve this problem. Some previous studies tried to...

Classification with Wise-SrNet instead of Global Average Pooling Image classification with deep neural networks comes with two steps: Generating feature map from the input image. Making classification based on the generated feature map. Although feature extraction is the most important...