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Leveraging Image Augmentation for Object Manipulation: Towards
  Interpretable Controllability in Object-Centric Learning

Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning

13 October 2023
Jinwoo Kim
Janghyuk Choi
Jaehyun Kang
Changyeon Lee
Ho-Jin Choi
Seon Joo Kim
    OCL
ArXivPDFHTML

Papers citing "Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning"

3 / 3 papers shown
Title
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
Ziyi Wu
Nikita Dvornik
Klaus Greff
Thomas Kipf
Animesh Garg
OCL
BDL
59
87
0
12 Oct 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
252
0
09 Dec 2020
1