ASDeM: Augmenting SAM With Decoupled Memory for Video Object Segmentation-Reference-Cited by-同舟云学术

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ASDeM: Augmenting SAM With Decoupled Memory for Video Object Segmentation

Published:2024 Issue: Volume:12 Page:73218-73227
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Xiaohu¹,Luo Yichuang²^ORCID,Sun Wei³

Affiliation:

1. Trine Engineering Institute, Shaanxi University of Technology, Hanzhong, China

2. Department of Intelligent Science and Engineering, Xi’an Peihua University, Xi’an, China

3. School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong, China

Funder

Shaanxi University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10537204.pdf?arnumber=10537204

Reference35 articles.

1. Rethinking space-time networks with improved memory coverage for efficient video object segmentation;Cheng

2. Associating objects with transformers for video object segmentation;Yang

3. Decoupling features in hierarchical propagation for video object segmentation;Yang

4. XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

5. The 2017 Davis challenge on video object segmentation;Pont-Tuset;arXiv:1704.00675,2017

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