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Divided Attention: Unsupervised Multi-Object Discovery with Contextually
  Separated Slots

Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots

4 April 2023
Dong Lao
Zhengyang Hu
Francesco Locatello
Yanchao Yang
Stefano Soatto
    OCL
ArXivPDFHTML

Papers citing "Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots"

10 / 10 papers shown
Title
Learning segmentation from point trajectories
Learning segmentation from point trajectories
Laurynas Karazija
Iro Laina
Christian Rupprecht
Andrea Vedaldi
3DPC
55
1
0
21 Jan 2025
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Nils Grandien
Quentin Delfosse
Kristian Kersting
OffRL
27
2
0
18 Oct 2024
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A
  Survey
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
Oriane Siméoni
Éloi Zablocki
Spyros Gidaris
Gilles Puy
Patrick Pérez
24
10
0
19 Oct 2023
Segmenting the motion components of a video: A long-term unsupervised
  model
Segmenting the motion components of a video: A long-term unsupervised model
E. Meunier
P. Bouthemy
14
0
0
02 Oct 2023
A Simple and Powerful Global Optimization for Unsupervised Video Object
  Segmentation
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
Georgy Ponimatkin
Nermin Samet
Yanghua Xiao
Yuming Du
Renaud Marlet
Vincent Lepetit
VOS
67
20
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
47
59
0
02 Jul 2022
Guess What Moves: Unsupervised Video and Image Segmentation by
  Anticipating Motion
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion
Subhabrata Choudhury
Laurynas Karazija
Iro Laina
Andrea Vedaldi
Christian Rupprecht
OCL
VOS
100
39
0
16 May 2022
On the Viability of Monocular Depth Pre-training for Semantic
  Segmentation
On the Viability of Monocular Depth Pre-training for Semantic Segmentation
Dong Lao
Fengyu Yang
Daniel Wang
Hyoungseob Park
Samuel Lu
Alex Wong
Stefano Soatto
MDE
13
0
0
26 Mar 2022
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni
Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
161
195
0
29 Sep 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
1