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CVPR 2014 intersection over union optimization code

Submitted by on Sep 30 2015 Suggest Revision
By: Sebastian Nowozin
From: Microsoft Research
Resource Type:
Code
License:
Language:
Matlab, C++
Data Format:

Description

In this work we investigate optimal decision making for more realistic loss functions. Specifically we consider the popular intersection-over-union (IoU) score used in image segmentation benchmarks and show that it results in a hard combinatorial decision problem. To make this problem tractable we propose a statistical approximation to the objective function, as well as an approximate algorithm based on parametric linear programming. We apply the algorithm on three benchmark datasets and obtain improved intersection-over-union scores compared to maximum-posterior-marginal decisions.
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