robots-7
Touch detection
3260 papers • 126 benchmarks • 313 datasets
This task has no description! Would you like to contribute one?
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in touch-detection-7
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find touch-detection-7 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
Most implemented papers
PyTouch: A Machine Learning Library for Touch Processing
R. Calandra, Mike Lambeta, Jingwei Xu, Huazhe Xu, Po-wei Chou, Shaoxiong Wang, T. Darrell•Tue May 25 2021
PyTouch is designed to be modular, easy-to-use and provides state-of-the-art touch processing capabilities as a service with the goal of unifying the tactile sensing community by providing a library for building scalable, proven, and performance-validated modules over which applications and research can be built upon.
23