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README.md
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In this work, we propose a new segmentation task --- ***reasoning segmentation***. The task is designed to output a segmentation mask given a complex and implicit query text. We establish a benchmark comprising over one thousand image-instruction pairs, incorporating intricate reasoning and world knowledge for evaluation purposes. Finally, we present LISA: Large-language Instructed Segmentation Assistant, which inherits the language generation capabilities of the multi-modal Large Language Model (LLM) while also possessing the ability to produce segmentation masks.
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For more details, please refer to:
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**LISA: Reasoning Segmentation Via Large Language Model [[Paper]()]** <br />
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[Xin Lai](https://scholar.google.com/citations?user=tqNDPA4AAAAJ&hl=zh-CN),
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[Zhuotao Tian](https://scholar.google.com/citations?user=mEjhz-IAAAAJ&hl=en),
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[Yukang Chen](https://scholar.google.com/citations?user=6p0ygKUAAAAJ&hl=en),
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In this work, we propose a new segmentation task --- ***reasoning segmentation***. The task is designed to output a segmentation mask given a complex and implicit query text. We establish a benchmark comprising over one thousand image-instruction pairs, incorporating intricate reasoning and world knowledge for evaluation purposes. Finally, we present LISA: Large-language Instructed Segmentation Assistant, which inherits the language generation capabilities of the multi-modal Large Language Model (LLM) while also possessing the ability to produce segmentation masks.
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For more details, please refer to:
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**LISA: Reasoning Segmentation Via Large Language Model [[Paper](https://arxiv.org/pdf/2308.00692.pdf)]** <br />
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[Xin Lai](https://scholar.google.com/citations?user=tqNDPA4AAAAJ&hl=zh-CN),
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[Zhuotao Tian](https://scholar.google.com/citations?user=mEjhz-IAAAAJ&hl=en),
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[Yukang Chen](https://scholar.google.com/citations?user=6p0ygKUAAAAJ&hl=en),
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