---
res:
  bibo_abstract:
  - Humans naturally decompose their environment into entities at the appropriate
    level of abstraction to act in the world. Allowing machine learning algorithms
    to derive this decomposition in an unsupervised way has become an important line
    of research. However, current methods are restricted to simulated data or require
    additional information in the form of motion or depth in order to successfully
    discover objects. In this work, we overcome this limitation by showing that reconstructing
    features from models trained in a self-supervised manner is a sufficient training
    signal for object-centric representations to arise in a fully unsupervised way.
    Our approach, DINOSAUR, significantly out-performs existing image-based object-centric
    learning models on simulated data and is the first unsupervised object-centric
    model that scales to real-world datasets such as COCO and PASCAL VOC. DINOSAUR
    is conceptually simple and shows competitive performance compared to more involved
    pipelines from the computer vision literature.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Maximilian
      foaf_name: Seitzer, Maximilian
      foaf_surname: Seitzer
  - foaf_Person:
      foaf_givenName: Max
      foaf_name: Horn, Max
      foaf_surname: Horn
  - foaf_Person:
      foaf_givenName: Andrii
      foaf_name: Zadaianchuk, Andrii
      foaf_surname: Zadaianchuk
  - foaf_Person:
      foaf_givenName: Dominik
      foaf_name: Zietlow, Dominik
      foaf_surname: Zietlow
  - foaf_Person:
      foaf_givenName: Tianjun
      foaf_name: Xiao, Tianjun
      foaf_surname: Xiao
  - foaf_Person:
      foaf_givenName: Carl-Johann Simon-Gabriel
      foaf_name: Carl-Johann Simon-Gabriel, Carl-Johann Simon-Gabriel
      foaf_surname: Carl-Johann Simon-Gabriel
  - foaf_Person:
      foaf_givenName: Tong
      foaf_name: He, Tong
      foaf_surname: He
  - foaf_Person:
      foaf_givenName: Zheng
      foaf_name: Zhang, Zheng
      foaf_surname: Zhang
  - foaf_Person:
      foaf_givenName: Bernhard
      foaf_name: Schölkopf, Bernhard
      foaf_surname: Schölkopf
  - foaf_Person:
      foaf_givenName: Thomas
      foaf_name: Brox, Thomas
      foaf_surname: Brox
  - 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
  dct_date: 2023^xs_gYear
  dct_language: eng
  dct_title: Bridging the gap to real-world object-centric learning@
...