ICML 2018oral49 citations
One-Shot Segmentation in Clutter
Claudio Michaelis, Matthias Bethge, Alexander Ecker
Abstract
We tackle the problem of one-shot segmentation: finding and segmenting a previously unseen object in a cluttered scene based on a single instruction example. We propose a novel dataset, which we call
BibTeX
@InProceedings{pmlr-v80-michaelis18a,
title = {One-Shot Segmentation in Clutter},
author = {Michaelis, Claudio and Bethge, Matthias and Ecker, Alexander},
booktitle = {Proceedings of the 35th International Conference on Machine Learning},
pages = {3549--3558},
year = {2018},
editor = {Dy, Jennifer and Krause, Andreas},
volume = {80},
series = {Proceedings of Machine Learning Research},
month = {10--15 Jul},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v80/michaelis18a/michaelis18a.pdf},
url = {https://proceedings.mlr.press/v80/michaelis18a.html},
abstract = {We tackle the problem of one-shot segmentation: finding and segmenting a previously unseen object in a cluttered scene based on a single instruction example. We propose a novel dataset, which we call