Preprint
Aug 2026
SeCo-SBIR: Semantically Consistent Prompt Learning for Zero-Shot Sketch-Based Image Retrieval
SeCo-SBIR is presented, a semantically consistent prompt learning framework that achieves state-of-the-art results on all three standard ZS-SBIR benchmarks across categorical, generalized, and across-dataset settings.
Long Dang, Tuan Nguyen Huu, Hieu Nguyen et al.
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