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Improving Object-centric Learning with Query Optimization

Improving Object-centric Learning with Query Optimization

17 October 2022
Baoxiong Jia
Yu Liu
Siyuan Huang
    OCL
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Papers citing "Improving Object-centric Learning with Query Optimization"

20 / 20 papers shown
Title
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Can Küçüksözen
Yücel Yemez
OCL
33
0
0
04 May 2025
Vector-Quantized Vision Foundation Models for Object-Centric Learning
Vector-Quantized Vision Foundation Models for Object-Centric Learning
Rongzhen Zhao
V. Wang
Juho Kannala
J. Pajarinen
OCL
VLM
103
0
0
27 Feb 2025
ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting
ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting
Yu Liu
Baoxiong Jia
Ruijie Lu
Junfeng Ni
Song-Chun Zhu
Siyuan Huang
3DGS
71
7
0
26 Feb 2025
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
65
6
0
17 Feb 2025
Unsupervised Discovery of Object-Centric Neural Fields
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo
Hong-Xing Yu
Jiajun Wu
3DPC
OCL
85
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
45
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
14
1
0
16 Jun 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Ziyi Wu
Jingyu Hu
Wuyue Lu
Igor Gilitschenski
Animesh Garg
DiffM
OCL
23
44
0
18 May 2023
Promising or Elusive? Unsupervised Object Segmentation from Real-world
  Single Images
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images
Yafei Yang
Bo Yang
OCL
91
17
0
05 Oct 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye
B. Liu
S. Wright
Peter Stone
Qian Liu
72
82
0
19 Sep 2022
Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas L. Griffiths
Sergey Levine
OCL
44
59
0
02 Jul 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu
Shalini De Mello
Sifei Liu
Wonmin Byeon
Thomas Breuel
Jan Kautz
X. Wang
ViT
VLM
175
494
0
22 Feb 2022
Unsupervised Part Discovery from Contrastive Reconstruction
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCL
SSL
157
60
0
11 Nov 2021
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
47
69
0
09 Nov 2021
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
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 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
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
235
3,029
0
09 Mar 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
96
714
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
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