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Chao-Qian Mu

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Preprint Sep 2026

MinCU: A Fine-Grained Benchmark for Grounded Minimal-Change Understanding in Image Pairs

MinCU is introduced, a benchmark for grounded minimal-change understanding and Semantic-Guided Implicit Spatial Anchors (SG-ISA), a structured autoregressive method that decomposes prediction into a Think-Locate-Describe sequence, suggesting that an implicit intermediate spatial interface can be more effective than rel...

Chao-Qian Mu, Wen-Hao Wu, Zi-Chen Liang et al. · 0 citations

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