Number two in ImageNet Scene Parsing Challenge 2016

We’ve had another great year in the ImageNet competition.  We came 2nd in the Scene Parsing challenge, which requires pixelwise segmentation of a large set of images into 150 classes of things and stuff.  The ImageNet Challenge is one of the most hotly contested challenges in Computer Vision, and is constantly updated to reflect the current state of the field.  The challenge results are available here, and we will publish an arXiv paper describing our approach very soon.

Tagged in Challenge, Research, Machine Learning