Conference item
An empirical study of detection-based video instance segmentation
- Abstract:
-
Video instance segmentation (VIS) is a composite task that requires the joint detection, tracking, and segmentation of objects in a video. In this work, we introduce a complete framework for VIS, which integrates the strengths of instance segmentation and general object tracking in addressing the unique challenges of VIS. In developing the framework, we investigate effective ways of coordinating the two components for maximum benefits while thoroughly investigate their separate contributions....
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, 1.0MB)
-
- Publisher copy:
- 10.1109/ICCVW.2019.00089
- Publication website:
- https://ieeexplore.ieee.org/xpl/conhome/8982559/proceeding
Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
- Pages:
- 713-716
- Publication date:
- 2020-03-05
- Acceptance date:
- 2019-09-27
- Event title:
- 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
- Event location:
- Seoul, South Korea
- Event website:
- https://iccv2019.thecvf.com/
- Event start date:
- 2019-10-27
- Event end date:
- 2019-11-02
- DOI:
- EISSN:
-
2473-9944
- ISSN:
-
2473-9936
- EISBN:
- 978-1-7281-5023-9
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1098816
- Local pid:
- pubs:1098816
- Deposit date:
- 2020-09-09
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers, Inc.
- Copyright date:
- 2019
- Rights statement:
- © 2019 by The Institute of Electrical and Electronics Engineers, Inc.
- Notes:
- This is the accepted manuscript version of the conference paper. The final version is available online from IEEE Xplore at https://doi.org/10.1109/ICCVW.2019.00089
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