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Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features
  from Unlabeled and Unordered RGB Images

Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images

18 June 2024
David B. Adrian
A. Kupcsik
Markus Spies
Heiko Neumann
    SSL
ArXivPDFHTML

Papers citing "Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images"

3 / 3 papers shown
Title
Learning Dense Visual Descriptors using Image Augmentations for Robot
  Manipulation Tasks
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks
Christian Graf
David B. Adrian
Joshua Weil
Miroslav Gabriel
Philipp Schillinger
Markus Spies
Heiko Neumann
A. Kupcsik
SSL
30
6
0
12 Sep 2022
Efficient and Robust Training of Dense Object Nets for Multi-Object
  Robot Manipulation
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
David B. Adrian
A. Kupcsik
Markus Spies
Heiko Neumann
3DPC
28
7
0
24 Jun 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
1