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Contrastive Training of Complex-Valued Autoencoders for Object Discovery

Contrastive Training of Complex-Valued Autoencoders for Object Discovery

24 May 2023
Aleksandar Stanić
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
    OCL
ArXivPDFHTML

Papers citing "Contrastive Training of Complex-Valued Autoencoders for Object Discovery"

16 / 16 papers shown
Title
Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics
Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics
Sabine Muzellec
A. Alamia
Thomas Serre
Rufin VanRullen
39
0
0
28 Feb 2025
Traveling Waves Integrate Spatial Information Through Time
Traveling Waves Integrate Spatial Information Through Time
Mozes Jacobs
Roberto C. Budzinski
L. Muller
Demba E. Ba
T. Anderson Keller
73
0
0
09 Feb 2025
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
75
6
0
17 Oct 2024
Multi-Scale Fusion for Object Representation
Multi-Scale Fusion for Object Representation
Rongzhen Zhao
V. Wang
Arno Solin
Joni Pajarinen
OCL
VOS
68
1
0
02 Oct 2024
Tracking objects that change in appearance with phase synchrony
Tracking objects that change in appearance with phase synchrony
Sabine Muzellec
Drew Linsley
A. Ashok
E. Mingolla
Girik Malik
Rufin VanRullen
Thomas Serre
31
1
0
02 Oct 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
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
S. S. Mondal
Jonathan D. Cohen
Taylor W. Webb
OCL
37
8
0
06 Mar 2024
Parallelized Spatiotemporal Binding
Parallelized Spatiotemporal Binding
Gautam Singh
Yue Wang
Jiawei Yang
Boris Ivanovic
Sungjin Ahn
Marco Pavone
Tong Che
48
1
0
26 Feb 2024
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative
  Cognition Approach
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach
Guillermo Puebla
Jeffrey S. Bowers
OCL
43
0
0
20 Feb 2024
Binding Dynamics in Rotating Features
Binding Dynamics in Rotating Features
Sindy Lowe
Francesco Locatello
Max Welling
OCL
27
2
0
08 Feb 2024
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of
  Segmentation and Grouping
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
Vincent Mallet
Zhengqing Wu
M. Ovsjanikov
21
5
0
28 Sep 2023
Rotating Features for Object Discovery
Rotating Features for Object Discovery
Sindy Lowe
Phillip Lippe
Francesco Locatello
Max Welling
OCL
30
21
0
01 Jun 2023
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
64
90
0
12 Oct 2022
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
317
5,785
0
29 Apr 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
254
0
09 Dec 2020
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
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
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