Pixellib: library for object segmentation in photos and videos

28 January 2021

Pixellib: library for object segmentation in photos and videos

Pixellib is a library for the task of segmenting objects in images and videos. The library supports two main types of object segmentation: semantic and instance segmentation. The complexity of…

Who Leads the Self-Driving Cars Race? State-of-Affairs in Autonomous Driving

30 January 2019
self-driving cars

Who Leads the Self-Driving Cars Race? State-of-Affairs in Autonomous Driving

Within just a couple of years, self-driving cars have gone from science fiction to “now commercially available” road-bound reality. This year’s CES (the largest consumer electronics show) was “flooded” with…

VGG16 – Convolutional Network for Classification and Detection

20 November 2018
vgg16

VGG16 – Convolutional Network for Classification and Detection

VGG16 is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper “Very Deep Convolutional Networks for Large-Scale Image Recognition”.…

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

12 June 2018
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

The immeasurable amount of multimedia data is recorded and shared in the current era of the Internet. Among it, a video is one of the most common and rich modalities,…

“Falling Things”: A Synthetic Dataset by Nvidia for Pose Estimation

26 April 2018
A Synthetic Dataset by Nvidia for Pose Estimation

“Falling Things”: A Synthetic Dataset by Nvidia for Pose Estimation

Deep learning made a lot of progress in image recognition and visual arts. The deep learning approach is used to solve the problems of image recognition, image captioning, image segmentation,…