Segmentation Neurohive

U-Net: Image Segmentation Network

23 November 2018

U-Net: Image Segmentation Network

U-Net is considered one of the standard CNN architectures for image classification tasks, when we need not only to define the whole image by its class but also to segment areas of…

Synthesising Images of Humans in Unseen Poses

19 July 2018

Synthesising Images of Humans in Unseen Poses

Humans have an incredible capability to imagine things in a different context. At the core of our intelligence are the imagination and learning from experience. Both of these things are…

Image Editing Becomes Easy with Semantically Meaningful Objects Generated

3 July 2018

Image Editing Becomes Easy with Semantically Meaningful Objects Generated

Image editing and compositing could be a fascinating creative process unless you need to spend most of your time on the tedious task of object selection. The process becomes even…

FAIR Proposed a New Partially Supervised Trading Paradigm to Segment Every Thing

26 June 2018

FAIR Proposed a New Partially Supervised Trading Paradigm to Segment Every Thing

Object detectors have become significantly more accurate and gained new capabilities. One of the most exciting is the ability to predict a foreground segmentation mask for each detected object, a…

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

12 June 2018

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,…