Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?
© 2018 Copyright is held by the owner/author(s). In this work, we propose two ensemble methods leveraging a crowd workforce to improve video annotation, with a focus on video object segmentation. Their shared principle is that while individual candidate results may likely be insufficient, they often...
Main Authors: | Kaspar, Alexandre, Patterson, Genevieve, Kim, Changil, Aksoy, Yagiz, Matusik, Wojciech, Elgharib, Mohamed |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
ACM
2021
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Online Access: | https://hdl.handle.net/1721.1/137932 |
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