Active boundary annotation using random MAP perturbations
We address the problem of efficiently annotating labels of objects when they are structured. Often the distribution over labels can be described using a joint potential function over the labels for which sampling is provably hard but efficient maximum a-posteriori (MAP) solvers exist. In this settin...
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
PLMR
2018
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Online Access: | http://hdl.handle.net/1721.1/115314 https://orcid.org/0000-0002-2199-0379 |