[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Segment objects in long videos while handling occlusions effectively.
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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.
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
XMem is an open-source project. It is released under the MIT license.
Yes. XMem is free and open source — you can use, modify and self-host it.
XMem is available under the MIT license.
XMem is written mainly in Python.
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