ML Anthology

Discovering Object Instances from Scenes of Daily Living

Hongwen Kang, Martial Hebert, Takeo Kanade
ICCV 2011 pp. 762-769
doi:10.1109/ICCV.2011.6126314 /iccv/2011/kang2011iccv-discovering/

Abstract

We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered scenes contain multiple objects. Each image provides only a partial, possibly very different view of each object. An object instance discovery program must be able to link pieces of visual information from multiple images and extract the consistent patterns.

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Cite

Text

Kang et al. "Discovering Object Instances from Scenes of Daily Living." IEEE/CVF International Conference on Computer Vision, 2011. doi:10.1109/ICCV.2011.6126314

Markdown

[Kang et al. "Discovering Object Instances from Scenes of Daily Living." IEEE/CVF International Conference on Computer Vision, 2011.](https://mlanthology.org/iccv/2011/kang2011iccv-discovering/) doi:10.1109/ICCV.2011.6126314

BibTeX

@inproceedings{kang2011iccv-discovering,
  title     = {{Discovering Object Instances from Scenes of Daily Living}},
  author    = {Kang, Hongwen and Hebert, Martial and Kanade, Takeo},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2011},
  pages     = {762-769},
  doi       = {10.1109/ICCV.2011.6126314},
  url       = {https://mlanthology.org/iccv/2011/kang2011iccv-discovering/}
}