1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2018★ 1 cited
A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations
Rajan Iyengar, Victor Reyes Osorio, Presish Bhattachan +2
Modern approaches to grasp planning often involve deep learning. However, there are only a few large datasets of labelled grasping examples on physical robots, and available datase…
q-bio.NC2016
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks
Bryan Tripp
Deep convolutional neural networks (CNNs) trained for object classification have a number of striking similarities with the primate ventral visual stream. In particular, activity i…
q-bio.NC2016
A Rich Source of Labels for Deep Network Models of the Primate Dorsal Visual Stream
Omid Rezai, Pinar Boyraz Jentsch, Bryan Tripp
Deep convolutional neural networks (CNNs) have structures that are loosely related to that of the primate visual cortex. Surprisingly, when these networks are trained for object cl…