---
res:
  bibo_abstract:
  - "The extraction of modular object-centric representations for downstream tasks\r\nis
    an emerging area of research. Learning grounded representations of objects\r\nthat
    are guaranteed to be stable and invariant promises robust performance\r\nacross
    different tasks and environments. Slot Attention (SA) learns\r\nobject-centric
    representations by assigning objects to \\textit{slots}, but\r\npresupposes a
    \\textit{single} distribution from which all slots are randomly\r\ninitialised.
    This results in an inability to learn \\textit{specialized} slots\r\nwhich bind
    to specific object types and remain invariant to identity-preserving\r\nchanges
    in object appearance. To address this, we present\r\n\\emph{\\textsc{Co}nditional
    \\textsc{S}lot \\textsc{A}ttention} (\\textsc{CoSA})\r\nusing a novel concept
    of \\emph{Grounded Slot Dictionary} (GSD) inspired by\r\nvector quantization.
    Our proposed GSD comprises (i) canonical object-level\r\nproperty vectors and
    (ii) parametric Gaussian distributions, which define a\r\nprior over the slots.
    We demonstrate the benefits of our method in multiple\r\ndownstream tasks such
    as scene generation, composition, and task adaptation,\r\nwhilst remaining competitive
    with SA in popular object discovery benchmarks.@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Avinash
      foaf_name: Kori, Avinash
      foaf_surname: Kori
  - foaf_Person:
      foaf_givenName: Francesco
      foaf_name: Locatello, Francesco
      foaf_surname: Locatello
      foaf_workInfoHomepage: http://www.librecat.org/personId=26cfd52f-2483-11ee-8040-88983bcc06d4
    orcid: 0000-0002-4850-0683
  - foaf_Person:
      foaf_givenName: Fabio De Sousa
      foaf_name: Ribeiro, Fabio De Sousa
      foaf_surname: Ribeiro
  - foaf_Person:
      foaf_givenName: Francesca
      foaf_name: Toni, Francesca
      foaf_surname: Toni
  - foaf_Person:
      foaf_givenName: Ben
      foaf_name: Glocker, Ben
      foaf_surname: Glocker
  bibo_doi: 10.48550/arXiv.2307.09437
  dct_date: 2023^xs_gYear
  dct_language: eng
  dct_title: Grounded object centric learning@
...