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README.md
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license: apache-2.0
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pipeline_tag: video-segmentation
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library_name: transformers
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[](https://huggingface.co/Swindl/GLUS-A)
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<div align=center>
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<img src="assets/teaserfig.png" style="width:100%;">
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</div>
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## Overview
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**RefVOS in complex scenarios** places high demands on models' video understanding and fine-grained localization capabilities. Recently, numerous models leveraging **MLLM-based** comprehension and reasoning abilities have been proposed to address this challenge. Our **GLUS** advances further along this methodological path.
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📌 **GLUS is simple.** It elegantly integrates the approach for complex-scenario RefVOS tasks within a single MLLM framework, eliminating the necessity of utilizing other independent modules.
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<div align=center>
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<img src="assets/pipeline_00.png" style="width:100%;">
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</div>
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## News
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## Installation
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```shell
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license: apache-2.0
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library_name: transformers
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---
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[](https://huggingface.co/Swindl/GLUS-A)
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## Overview
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**RefVOS in complex scenarios** places high demands on models' video understanding and fine-grained localization capabilities. Recently, numerous models leveraging **MLLM-based** comprehension and reasoning abilities have been proposed to address this challenge. Our **GLUS** advances further along this methodological path.
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📌 **GLUS is simple.** It elegantly integrates the approach for complex-scenario RefVOS tasks within a single MLLM framework, eliminating the necessity of utilizing other independent modules.
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## Installation
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```shell
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