36-category benchmark

The '36-category benchmark' is a dataset used to evaluate the performance of tactile recognition systems by categorizing various shapes and materials, specifically in few-shot learning scenarios.

Papers using 36-category benchmark (1)

Tactile Recognition of Both Shapes and Materials with Automatic Feature Optimization-Enabled Meta Learning2026