---
_id: '1102'
abstract:
- lang: eng
  text: Weakly-supervised object localization methods tend to fail for object classes
    that consistently co-occur with the same background elements, e.g. trains on tracks.
    We propose a method to overcome these failures by adding a very small amount of
    model-specific additional annotation. The main idea is to cluster a deep network\'s
    mid-level representations and assign object or distractor labels to each cluster.
    Experiments show substantially improved localization results on the challenging
    ILSVC2014 dataset for bounding box detection and the PASCAL VOC2012 dataset for
    semantic segmentation.
acknowledgement: "This work was funded in parts by the European Research Council\r\nunder
  the European Union’s Seventh Framework Programme (FP7/2007-2013)/ERC grant\r\nagreement
  no 308036. We gratefully acknowledge the support of NVIDIA Corporation with\r\nthe
  donation of the GPUs used for this research."
author:
- first_name: Alexander
  full_name: Kolesnikov, Alexander
  id: 2D157DB6-F248-11E8-B48F-1D18A9856A87
  last_name: Kolesnikov
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Kolesnikov A, Lampert C. Improving weakly-supervised object localization by
    micro-annotation. In: <i>Proceedings of the British Machine Vision Conference
    2016</i>. Vol 2016-September. BMVA Press; 2016:92.1-92.12. doi:<a href="https://doi.org/10.5244/C.30.92">10.5244/C.30.92</a>'
  apa: 'Kolesnikov, A., &#38; Lampert, C. (2016). Improving weakly-supervised object
    localization by micro-annotation. In <i>Proceedings of the British Machine Vision
    Conference 2016</i> (Vol. 2016–September, p. 92.1-92.12). York, United Kingdom:
    BMVA Press. <a href="https://doi.org/10.5244/C.30.92">https://doi.org/10.5244/C.30.92</a>'
  chicago: Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised
    Object Localization by Micro-Annotation.” In <i>Proceedings of the British Machine
    Vision Conference 2016</i>, 2016–September:92.1-92.12. BMVA Press, 2016. <a href="https://doi.org/10.5244/C.30.92">https://doi.org/10.5244/C.30.92</a>.
  ieee: A. Kolesnikov and C. Lampert, “Improving weakly-supervised object localization
    by micro-annotation,” in <i>Proceedings of the British Machine Vision Conference
    2016</i>, York, United Kingdom, 2016, vol. 2016–September, p. 92.1-92.12.
  ista: 'Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization
    by micro-annotation. Proceedings of the British Machine Vision Conference 2016.
    BMVC: British Machine Vision Conference vol. 2016–September, 92.1-92.12.'
  mla: Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised
    Object Localization by Micro-Annotation.” <i>Proceedings of the British Machine
    Vision Conference 2016</i>, vol. 2016–September, BMVA Press, 2016, p. 92.1-92.12,
    doi:<a href="https://doi.org/10.5244/C.30.92">10.5244/C.30.92</a>.
  short: A. Kolesnikov, C. Lampert, in:, Proceedings of the British Machine Vision
    Conference 2016, BMVA Press, 2016, p. 92.1-92.12.
conference:
  end_date: 2016-09-22
  location: York, United Kingdom
  name: 'BMVC: British Machine Vision Conference'
  start_date: 2016-09-19
date_created: 2018-12-11T11:50:09Z
date_published: 2016-09-01T00:00:00Z
date_updated: 2021-01-12T06:48:18Z
day: '01'
department:
- _id: ChLa
doi: 10.5244/C.30.92
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://www.bmva.org/bmvc/2016/papers/paper092/paper092.pdf
month: '09'
oa: 1
oa_version: Published Version
page: 92.1-92.12
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '308036'
  name: Lifelong Learning of Visual Scene Understanding
publication: Proceedings of the British Machine Vision Conference 2016
publication_status: published
publisher: BMVA Press
publist_id: '6273'
quality_controlled: '1'
scopus_import: 1
status: public
title: Improving weakly-supervised object localization by micro-annotation
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 2016-September
year: '2016'
...