OCVOS: Object-Centric Representation for Video Object Segmentation-Reference-Cited by-同舟云学术

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OCVOS: Object-Centric Representation for Video Object Segmentation

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing (ICIP)
language:
Short-container-title:

Author:

Jo Junho¹,Wee Dongyoon²,Cho Nam Ik¹

Affiliation:

1. Seoul National University,INMC,Department of Electrical and Computer Eng,Seoul,Korea

2. AI Tech, Naver Cloud,Gyeonggi-do,Korea

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222708.pdf?arnumber=10222708

Reference20 articles.

1. Joint inductive and transductive learning for video object segmentation;zhou;Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV),2021

2. Associating objects with transformers for video object segmentation;yang;Advances in Neural IInformation Processing Systems,2021

3. Transvos: Video object segmentation with transformers;mei,2021

4. SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation

5. Microsoft coco: Common objects in context;lin;European Conference on Computer Vision 2014,2014

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