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XMem
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XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

by hkchengrex · GitHub
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computer-visiondeep-learningeccv-2022MITPython
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Segment objects in long videos while handling occlusions effectively.

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1 9801 979
2026-07-202026-08-31
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📄 About

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

XMem has 2k stars on GitHub. It has been forked 210 times. XMem is written mainly in Python. It has been in active development since 2022. XMem is available under the MIT license. Its main topics are computer-vision, deep-learning, eccv-2022, eccv2022.

Frequently asked questions

What is XMem?

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Is XMem open source?

XMem is an open-source project. It is released under the MIT license.

Is XMem free?

Yes. XMem is free and open source — you can use, modify and self-host it.

What license does XMem use?

XMem is available under the MIT license.

What language is XMem written in?

XMem is written mainly in Python.

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