Trained unary potentials

If you're using any of the material or code on this page, cite our paper Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials .


MSRC, 84.05% GA) N/A
VOC 2010, 22.21% CA), 27.43% CA)

GAGlobal accuracy
CAClass wise accuracy (VOC)
All the data stores probabilities, normalized per pixel to sum up to 1. If you need access to the raw output of the boosting classifier train them yourself here) or contact the authors. However those raw boosting outputs are a lot larger (MSRC: 3G and VOC: 30G), such that we cannot host them online.

How to use: