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Inductive Biases for Object-Centric Representations in the Presence of
  Complex Textures
v1v2v3 (latest)

Inductive Biases for Object-Centric Representations in the Presence of Complex Textures

18 April 2022
Samuele Papa
Ole Winther
Andrea Dittadi
    OCL
ArXiv (abs)PDFHTML

Papers citing "Inductive Biases for Object-Centric Representations in the Presence of Complex Textures"

50 / 52 papers shown
Title
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan
Samuele Papa
Karl Henrik Johansson
Stefan Bauer
Andrea Dittadi
OCL
158
9
0
22 Jul 2024
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
Xu Yin
Fei Pan
G. An
Yuchi Huo
Zixuan Xie
Sung-eui Yoon
BDLVLM
129
1
0
02 Jul 2024
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
86
2,529
0
16 May 2024
Explicitly Disentangled Representations in Object-Centric Learning
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro
Jonathan Collu
Aske Plaat
Thomas M. Moerland
CoGeOODOCL
161
1
0
18 Jan 2024
Compositional Multi-Object Reinforcement Learning with Linear Relation
  Networks
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
86
17
0
31 Jan 2022
Conditional Object-Centric Learning from Video
Conditional Object-Centric Learning from Video
Thomas Kipf
Gamaleldin F. Elsayed
Aravindh Mahendran
Austin Stone
S. Sabour
G. Heigold
Rico Jonschkowski
Alexey Dosovitskiy
Klaus Greff
OCL
134
218
0
24 Nov 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object
  Segmentation
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
Laurynas Karazija
Iro Laina
Christian Rupprecht
3DVVOS
144
90
0
19 Nov 2021
The Role of Pretrained Representations for the OOD Generalization of
  Reinforcement Learning Agents
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
Andrea Dittadi
Frederik Trauble
M. Wuthrich
Felix Widmaier
Peter V. Gehler
Ole Winther
Francesco Locatello
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
96
16
0
12 Jul 2021
Generalization and Robustness Implications in Object-Centric Learning
Generalization and Robustness Implications in Object-Centric Learning
Andrea Dittadi
Samuele Papa
Michele De Vita
Bernhard Schölkopf
Ole Winther
Francesco Locatello
OCLOOD
77
77
0
01 Jul 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative
  Refinement
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Martin Engelcke
Oiwi Parker Jones
Ingmar Posner
OCL
87
120
0
20 Apr 2021
Planning from Pixels in Atari with Learned Symbolic Representations
Planning from Pixels in Atari with Learned Symbolic Representations
Andrea Dittadi
Frederik K. Drachmann
Thomas Bolander
73
11
0
16 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
306
267
0
09 Dec 2020
Learning Object-Centric Video Models by Contrasting Sets
Learning Object-Centric Video Models by Contrasting Sets
Sindy Löwe
Klaus Greff
Rico Jonschkowski
Alexey Dosovitskiy
Thomas Kipf
SSLOCL
59
24
0
20 Nov 2020
On the Transfer of Disentangled Representations in Realistic Settings
On the Transfer of Disentangled Representations in Realistic Settings
Andrea Dittadi
Frederik Trauble
Francesco Locatello
M. Wuthrich
Vaibhav Agrawal
Ole Winther
Stefan Bauer
Bernhard Schölkopf
OOD
121
82
0
27 Oct 2020
Improving Generative Imagination in Object-Centric World Models
Improving Generative Imagination in Object-Centric World Models
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Bofeng Fu
Jindong Jiang
Sungjin Ahn
OCL
118
81
0
05 Oct 2020
Slot Contrastive Networks: A Contrastive Approach for Representing
  Objects
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah
Sarath Chandar
OCLDRL
73
14
0
18 Jul 2020
Reconstruction Bottlenecks in Object-Centric Generative Models
Reconstruction Bottlenecks in Object-Centric Generative Models
Martin Engelcke
Oiwi Parker Jones
Ingmar Posner
OCL
86
24
0
13 Jul 2020
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
225
859
0
26 Jun 2020
On Disentangled Representations Learned From Correlated Data
On Disentangled Representations Learned From Correlated Data
Frederik Trauble
Elliot Creager
Niki Kilbertus
Francesco Locatello
Andrea Dittadi
Anirudh Goyal
Bernhard Schölkopf
Stefan Bauer
OODCML
71
117
0
14 Jun 2020
Towards causal generative scene models via competition of experts
Towards causal generative scene models via competition of experts
Julius von Kügelgen
Ivan Ustyuzhaninov
Peter V. Gehler
Matthias Bethge
Bernhard Schölkopf
OCL3DV
63
51
0
27 Apr 2020
Learning to Manipulate Individual Objects in an Image
Learning to Manipulate Individual Objects in an Image
Yanchao Yang
Yutong Chen
Stefano Soatto
OCL
103
38
0
11 Apr 2020
ReZero is All You Need: Fast Convergence at Large Depth
ReZero is All You Need: Fast Convergence at Large Depth
Thomas C. Bachlechner
Bodhisattwa Prasad Majumder
H. H. Mao
G. Cottrell
Julian McAuley
AI4CE
85
282
0
10 Mar 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINNAI4CE
148
1,104
0
21 Feb 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial
  Attention and Decomposition
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Weihao Sun
Gautam Singh
Fei Deng
Jindong Jiang
Sungjin Ahn
BDLOCL3DPC
181
250
0
08 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNNVLMCLLAI4CELRM
169
1,838
0
13 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
568
42,677
0
03 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCLDRL
101
285
0
27 Nov 2019
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Eric Crawford
Joelle Pineau
123
67
0
20 Nov 2019
Structured Object-Aware Physics Prediction for Video Modeling and
  Planning
Structured Object-Aware Physics Prediction for Video Modeling and Planning
Jannik Kossen
Karl Stelzner
Marcel Hussing
C. Voelcker
Kristian Kersting
OCL
88
70
0
06 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations
SCALOR: Generative World Models with Scalable Object Representations
Jindong Jiang
Sepehr Janghorbani
Gerard de Melo
Sungjin Ahn
OCLDRL
101
133
0
06 Oct 2019
LAVAE: Disentangling Location and Appearance
LAVAE: Disentangling Location and Appearance
Andrea Dittadi
Ole Winther
OCLBDLDRL
130
6
0
25 Sep 2019
Recurrent Independent Mechanisms
Recurrent Independent Mechanisms
Anirudh Goyal
Alex Lamb
Jordan Hoffmann
Shagun Sodhani
Sergey Levine
Yoshua Bengio
Bernhard Schölkopf
117
338
0
24 Sep 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric
  Latent Representations
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke
Adam R. Kosiorek
Oiwi Parker Jones
Ingmar Posner
OCL
152
308
0
30 Jul 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste
Francesco Locatello
Jürgen Schmidhuber
Olivier Bachem
95
210
0
29 May 2019
Unsupervised Object Segmentation by Redrawing
Unsupervised Object Segmentation by Redrawing
Mickaël Chen
Thierry Artières
Ludovic Denoyer
71
141
0
27 May 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and
  Sentences From Natural Supervision
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao
Chuang Gan
Pushmeet Kohli
J. Tenenbaum
Jiajun Wu
NAI
142
703
0
26 Apr 2019
Multi-Object Representation Learning with Iterative Variational
  Inference
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCLSSL
106
510
0
01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess
Loic Matthey
Nicholas Watters
Rishabh Kabra
I. Higgins
M. Botvinick
Alexander Lerchner
OCL
90
531
0
22 Jan 2019
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
143
1,475
0
29 Nov 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
100
258
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
769
3,132
0
04 Jun 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of
  Objects and their Interactions
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
BDLOCLDRL
209
292
0
28 Feb 2018
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
132
487
0
13 Nov 2017
Neural Expectation Maximization
Neural Expectation Maximization
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
134
287
0
11 Aug 2017
Classical Planning in Deep Latent Space: Bridging the
  Subsymbolic-Symbolic Boundary
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
Masataro Asai
A. Fukunaga
155
172
0
29 Apr 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
319
2,392
0
20 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
545
1,412
0
01 Dec 2016
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
98
161
0
21 Jun 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami
N. Heess
T. Weber
Yuval Tassa
David Szepesvari
Koray Kavukcuoglu
Geoffrey E. Hinton
3DVBDLOCL
133
551
0
28 Mar 2016
A Neural Algorithm of Artistic Style
A Neural Algorithm of Artistic Style
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
GAN
95
2,864
0
26 Aug 2015
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