Surformer v1 is a cross-modal transformer for tactile-visual surface classification that claims 99.4% accuracy at 0.77 ms inference, but the submitted full text belongs to an unrelated statistics paper.
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Surformer v1: Transformer-Based Surface Classification Using Tactile and Vision Features
Surformer v1 is a cross-modal transformer for tactile-visual surface classification that claims 99.4% accuracy at 0.77 ms inference, but the submitted full text belongs to an unrelated statistics paper.