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Tagger: Deep Unsupervised Perceptual Grouping

Tagger: Deep Unsupervised Perceptual Grouping

21 June 2016
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
    OCL
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Papers citing "Tagger: Deep Unsupervised Perceptual Grouping"

32 / 32 papers shown
Title
Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
Yanpeng Zhao
Yiwei Hao
Siyu Gao
Yunbo Wang
Xiaokang Yang
OCL
126
1
0
17 Feb 2025
Attention Normalization Impacts Cardinality Generalization in Slot
  Attention
Attention Normalization Impacts Cardinality Generalization in Slot Attention
Markus Krimmel
Jan Achterhold
Joerg Stueckler
OCL
42
0
0
04 Jul 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object
  Discovery
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
Anand Gopalakrishnan
Aleksandar Stanić
Jürgen Schmidhuber
M. C. Mozer
45
5
0
27 May 2024
Unsupervised Discovery of Object-Centric Neural Fields
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo
Hong-Xing Yu
Jiajun Wu
3DPC
OCL
90
3
0
12 Feb 2024
Explicitly Disentangled Representations in Object-Centric Learning
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro
Jonathan Collu
Aske Plaat
Thomas M. Moerland
CoGe
OOD
OCL
63
1
0
18 Jan 2024
OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for
  Object-Centric Learning
OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning
Yin-Tao Huang
Tonglin Chen
Zhimeng Shen
Jinghao Huang
Bin Li
Xiangyang Xue
OCL
27
1
0
16 Jun 2023
Dance of SNN and ANN: Solving binding problem by combining spike timing
  and reconstructive attention
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
Hao Zheng
Hui Lin
Rong Zhao
Luping Shi
23
5
0
11 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
29
36
0
02 Nov 2022
Unsupervised Multi-object Segmentation by Predicting Probable Motion
  Patterns
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns
Laurynas Karazija
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCL
103
20
0
21 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based
  Models
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang
Tong Che
B. Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
28
8
0
11 Oct 2022
Learning to Generalize with Object-centric Agents in the Open World
  Survival Game Crafter
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
29
12
0
05 Aug 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic
  Videos
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
Gautam Singh
Yi-Fu Wu
Sungjin Ahn
OCL
48
114
0
27 May 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Bruno Sauvalle
A. de La Fortelle
3DPC
49
12
0
26 May 2022
Discovering Objects that Can Move
Discovering Objects that Can Move
Zhipeng Bao
P. Tokmakov
Allan Jabri
Yu-xiong Wang
Adrien Gaidon
M. Hebert
OCL
31
43
0
18 Mar 2022
EM-driven unsupervised learning for efficient motion segmentation
EM-driven unsupervised learning for efficient motion segmentation
E. Meunier
A. Badoual
P. Bouthemy
30
39
0
06 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
39
214
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
3DV
VOS
27
84
0
19 Nov 2021
Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
29
42
0
29 Oct 2021
Unsupervised Layered Image Decomposition into Object Prototypes
Unsupervised Layered Image Decomposition into Object Prototypes
Tom Monnier
Elliot Vincent
Jean Ponce
Mathieu Aubry
OCL
11
53
0
29 Apr 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
29
115
0
20 Apr 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable
  Environments
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments
Antonia Creswell
Rishabh Kabra
Christopher P. Burgess
Murray Shanahan
OCL
30
29
0
08 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Anirudh Goyal
Aniket Didolkar
Nan Rosemary Ke
Charles Blundell
Philippe Beaudoin
N. Heess
Michael C. Mozer
Yoshua Bengio
OCL
44
82
0
02 Mar 2021
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
An Explicit Local and Global Representation Disentanglement Framework
  with Applications in Deep Clustering and Unsupervised Object Detection
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
Rujikorn Charakorn
Y. Thawornwattana
Sirawaj Itthipuripat
Nick Pawlowski
P. Manoonpong
Nat Dilokthanakul
DRL
OCL
19
13
0
24 Jan 2020
Disentangling neural mechanisms for perceptual grouping
Disentangling neural mechanisms for perceptual grouping
Junkyung Kim
Drew Linsley
Kalpit C. Thakkar
Thomas Serre
OCL
23
54
0
04 Jun 2019
Interpreting and Understanding Graph Convolutional Neural Network using
  Gradient-based Attribution Method
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method
Shangsheng Xie
Mingming Lu
FAtt
GNN
31
16
0
09 Mar 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
OCL
SSL
13
499
0
01 Mar 2019
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSL
VLM
14
839
0
17 Jul 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
138
305
0
11 Jun 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
13
256
0
05 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
BDL
OCL
DRL
34
290
0
28 Feb 2018
Towards Deep Symbolic Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning
M. Garnelo
Kai Arulkumaran
Murray Shanahan
24
225
0
18 Sep 2016
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