Fully Self-Supervised Class Awareness in Dense Object Descriptors

5 October 2021

Papers citing "Fully Self-Supervised Class Awareness in Dense Object Descriptors"

7 / 7 papers shown

Title
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications A. Kupcsik Markus Spies Alexander Klein M. Todescato Nicolai Waniek Philipp Schillinger Mathias Buerger 53 11 0 16 Feb 2021
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency Mel Vecerík Jean-Baptiste Regli Oleg O. Sushkov David Barker Rugile Pevceviciute Thomas Rothörl C. Schuster R. Hadsell Lourdes Agapito Jonathan Scholz 3DPC 67 40 0 30 Sep 2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning Lucas Manuelli Yunzhu Li Peter R. Florence Russ Tedrake SSL 80 104 0 10 Sep 2020
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping T. Patten Kiru Park Markus Vincze 71 31 0 15 Jan 2020
Self-Supervised Correspondence in Visuomotor Policy Learning Peter R. Florence Lucas Manuelli Russ Tedrake SSL 74 162 0 16 Sep 2019
SFNet: Learning Object-aware Semantic Correspondence Junghyup Lee Dohyung Kim Jean Ponce Bumsub Ham 3DPC 69 141 0 03 Apr 2019
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation Peter R. Florence Lucas Manuelli Russ Tedrake SSL 98 279 0 22 Jun 2018