Conference item
Semi-convolutional operators for instance segmentation
- Abstract:
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Object detection and instance segmentation are dominated by region-based methods such as Mask RCNN. However, there is a growing interest in reducing these problems to pixel labeling tasks, as the latter could be more efficient, could be integrated seamlessly in image-to-image network architectures as used in many other tasks, and could be more accurate for objects that are not well approximated by bounding boxes. In this paper we show theoretically and empirically that constructing dense pixe...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 916.0KB)
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- Publisher copy:
- 10.1007/978-3-030-01246-5_6
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Authors
Funding
Naver
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Amazon Web Services, Inc
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Bibliographic Details
- Publisher:
- Springer Verlag Publisher's website
- Journal:
- Lecture Notes in Computer Science Journal website
- Volume:
- 11205
- Pages:
- 89-105
- Series:
- Lecture Notes in Computer Science
- Host title:
- European Conference on Computer Vision
- Publication date:
- 2018-10-06
- Acceptance date:
- 2018-07-03
- DOI:
- ISSN:
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0302-9743 and 1611-3349
- Source identifiers:
-
940496
- ISBN:
- 9783030012458
Item Description
- Keywords:
- Pubs id:
-
pubs:940496
- UUID:
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uuid:629c00e4-442d-4346-aca9-206bd875964a
- Local pid:
- pubs:940496
- Deposit date:
- 2018-11-12
Terms of use
- Copyright holder:
- Springer Nature
- Copyright date:
- 2018
- Notes:
- © Springer Nature Switzerland AG 2018. This is the author accepted manuscript following peer review version of the article. The final version is available online from Springer at: 10.1007/978-3-030-01246-5_6
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