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SPACE: Unsupervised Object-Oriented Scene Representation via Spatial
  Attention and Decomposition

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition

8 January 2020
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Weihao Sun
Gautam Singh
Fei Deng
Jindong Jiang
Sungjin Ahn
    BDL
    OCL
    3DPC
ArXivPDFHTML

Papers citing "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"

28 / 178 papers shown
Title
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem
  Solving
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
Sirui Xie
Xiaojian Ma
Peiyu Yu
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
39
20
0
22 Feb 2021
Towards Causal Representation Learning
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
32
317
0
22 Feb 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Quentin Delfosse
P. Schramowski
Martin Mundt
Alejandro Molina
Kristian Kersting
37
14
0
18 Feb 2021
Inducing Meaningful Units from Character Sequences with Dynamic Capacity
  Slot Attention
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention
Melika Behjati
James Henderson
OCL
18
1
0
01 Feb 2021
Understanding in Artificial Intelligence
Understanding in Artificial Intelligence
S. Maetschke
D. M. Iraola
Pieter Barnard
Elaheh Shafieibavani
Peter Zhong
Ying Xu
Antonio Jimeno Yepes
ELM
VLM
16
0
0
17 Jan 2021
Evaluating Disentanglement of Structured Representations
Evaluating Disentanglement of Structured Representations
Raphaël Dang-Nhu
OCL
18
5
0
11 Jan 2021
Language-Mediated, Object-Centric Representation Learning
Language-Mediated, Object-Centric Representation Learning
Ruocheng Wang
Jiayuan Mao
S. Gershman
Jiajun Wu
16
12
0
31 Dec 2020
Attention over learned object embeddings enables complex visual
  reasoning
Attention over learned object embeddings enables complex visual reasoning
David Ding
Felix Hill
Adam Santoro
Malcolm Reynolds
M. Botvinick
OCL
22
69
0
15 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
224
254
0
09 Dec 2020
Human Detection and Segmentation via Multi-view Consensus
Human Detection and Segmentation via Multi-view Consensus
Isinsu Katircioglu
Helge Rhodin
Jorg Sporri
Mathieu Salzmann
Pascal Fua
11
3
0
09 Dec 2020
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan
Sjoerd van Steenkiste
Jürgen Schmidhuber
SSL
23
21
0
25 Nov 2020
Learning Object-Centric Video Models by Contrasting Sets
Learning Object-Centric Video Models by Contrasting Sets
Sindy Lowe
Klaus Greff
Rico Jonschkowski
Alexey Dosovitskiy
Thomas Kipf
SSL
OCL
14
24
0
20 Nov 2020
Refactoring Policy for Compositional Generalizability using
  Self-Supervised Object Proposals
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
Tongzhou Mu
Jiayuan Gu
Zhiwei Jia
Hao Tang
Hao Su
19
13
0
26 Oct 2020
Generative Neurosymbolic Machines
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDL
OCL
219
68
0
23 Oct 2020
Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using
  Deep Shape Priors
Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using Deep Shape Priors
Cathrin Elich
Martin R. Oswald
Marc Pollefeys
Joerg Stueckler
OCL
3DPC
3DV
14
12
0
08 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
19
80
0
05 Oct 2020
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural
  Networks
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
Iulia Duta
Andrei Liviu Nicolicioiu
Marius Leordeanu
24
6
0
17 Sep 2020
Slot Contrastive Networks: A Contrastive Approach for Representing
  Objects
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah
Sarath Chandar
OCL
DRL
21
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
35
24
0
13 Jul 2020
Unsupervised object-centric video generation and decomposition in 3D
Unsupervised object-centric video generation and decomposition in 3D
Paul Henderson
Christoph H. Lampert
OCL
14
36
0
07 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
35
816
0
26 Jun 2020
Disassembling Object Representations without Labels
Disassembling Object Representations without Labels
Zunlei Feng
Xinchao Wang
Yongming He
Yike Yuan
Xin Gao
Xiuming Zhang
OCL
18
0
0
03 Apr 2020
Better Set Representations For Relational Reasoning
Better Set Representations For Relational Reasoning
Qian Huang
Horace He
Ashutosh Kumar Singh
Yan Zhang
Ser-Nam Lim
Austin R. Benson
NAI
OCL
GNN
26
1
0
09 Mar 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning
William Agnew
Pedro M. Domingos
OffRL
23
3
0
03 Mar 2020
Investigating Simple Object Representations in Model-Free Deep
  Reinforcement Learning
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
Guy Davidson
Brenden Lake
OCL
OffRL
14
10
0
16 Feb 2020
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
OCL
DRL
37
132
0
06 Oct 2019
An Attentive Survey of Attention Models
An Attentive Survey of Attention Models
S. Chaudhari
Varun Mithal
Gungor Polatkan
R. Ramanath
19
639
0
05 Apr 2019
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,176
0
16 Sep 2016
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