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Department of Computer Engineering, Keimyung University, Daegu 42601, Republic of Korea
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KeySeg tackles semantic discrepancies in multimodal image segmentation by explicitly encoding query conditions into a dedicated token, leading to more precise and interpretable segmentation.
