Simple Does It: Weakly Supervised Instance and Semantic Segmentation

Khoreva, Anna; Benenson, Rodrigo; Hosang, Jan; Hein, Matthias; Schiele, Bernt

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Simple Does It: Weakly Supervised Instance and Semantic Segmentation

Khoreva, A., Benenson, R., Hosang, J., Hein, M., & Schiele, B. (in press). Simple Does It: Weakly Supervised Instance and Semantic Segmentation. In 30th IEEE Conference on Computer Vision and Pattern Recognition.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-1A7D-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-0BDB-1

Genre: Conference Paper

Other : Weakly Supervised Semantic Labelling and Instance Segmentation

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Creators:
Khoreva, Anna¹, Author
Benenson, Rodrigo¹, Author
Hosang, Jan¹, Author
Hein, Matthias², Author
Schiele, Bernt¹, Author

Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Created: 2016-03-24Modified: 2016-11-23Accepted: 2017

Publication Status: Accepted / In Press

Pages: 21 p.

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Identifiers: BibTex Citekey: Khoreva1603.07485

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Title: 30th IEEE Conference on Computer Vision and Pattern Recognition

Place of Event: Honolulu, HI, USA

Start-/End Date: 2017-07-22 - 2017-07-25

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Title: 30th IEEE Conference on Computer Vision and Pattern Recognition

Abbreviation : CVPR 2017

Source Genre: Proceedings

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