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This paper aims to address universal segmentation for image and video perception with the strong reasoning ability empowered by Visual Large Language Models (VLLMs).
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
Earlier work this paper cites.
Microsoft coco: Common objects in context
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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The 2018 davis challenge on video object segmentation
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Earlier work this paper cites.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
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Earlier work this paper cites.
Masked-attention mask transformer for universal image segmentation
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Ferret: Refer and ground anything anywhere at any granularity
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Sigmoid loss for language image pre-training
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Segment anything
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A simple framework for open-vocabulary segmentation and detection
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Segment everything everywhere all at once
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Sam4mllm: Enhance multi-modal large language model for referring expression segmentation
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