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R-SQAIR: Relational Sequential Attend, Infer, Repeat

arXiv 1910.05231 ↗First posted 11 Oct 2019cs.LG stat.MLcited by 21

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Abstract (arXiv)

Traditional sequential multi-object attention models rely on a recurrent mechanism to infer object relations. We propose a relational extension (R-SQAIR) of one such attention model (SQAIR) by endowing it with a module with strong relational inductive bias that computes in parallel pairwise interactions between inferred objects. Two recently proposed relational modules are studied on tasks of unsupervised learning from videos. We demonstrate gains over sequential relational mechanisms, also in terms of combinatorial generalization.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Oct 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 6; 2023: 5; 2024: 2; 2025: 1; 2026: 3.

21 papers.

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  1. 2021Conditional Object-Centric Learning from Videocited by 247
  2. 2022Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videoscited by 139
  3. 2021Unsupervised Learning of Compositional Energy Conceptscited by 71
  4. 2022Neural Systematic Bindercited by 37
  5. 2022Compositional Scene Representation Learning via Reconstruction: A Surveycited by 27
  6. 2022Unsupervised Image Representation Learning with Deep Latent Particlescited by 19
  7. 2023Systematic Visual Reasoning through Object-Centric Relational Abstractioncited by 19
  8. 2023DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particlescited by 18
  9. 2023Contrastive Training of Complex-Valued Autoencoders for Object Discoverycited by 16
  10. 2022Learning to Generalize with Object-centric Agents in the Open World Survival Game Craftercited by 13
  11. 2021Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpointscited by 11
  12. 2023Object-Centric Learning with Slot Mixture Modulecited by 11
9 more
  1. 2026Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modelingcited by 11
  2. 2021GATSBI: Generative Agent-centric Spatio-temporal Object Interactioncited by 8
  3. 2024Reasoning-Enhanced Object-Centric Learning for Videoscited by 7
  4. 2025SlotPi: Physics-informed Object-centric Reasoning Modelscited by 5
  5. 2024Unsupervised Object-Centric Learning from Multiple Unspecified Viewpointscited by 4
  6. 2022Patch-based Object-centric Transformers for Efficient Video Generationcited by 3
  7. 2023Unsupervised Musical Object Discovery from Audiocited by 2
  8. 20263D-DLP: Self-Supervised 3D Object-Centric Scene Representation Learningcited by 1
  9. 2026LinSlot: Exploiting Linear Representation hypothesis for unsupervised attribute discovery from slot based object representationcited by 0