Object-centric Learning
Object-Centric Learning is a machine learning framework that models complex scenes by decomposing them into discrete, interpretable representations of individual objects, thereby enabling relational reasoning and structured scene understanding in contrast to holistic, pixel-based approaches.
159
Publications
16.6K
Citations
599
Authors
149
Institutions
Publications per year
2017–2026
134
159
VinVL: Revisiting Visual Representations in Vision-Language Models
Pengchuan Zhang, Xiujun Li, Xiaowei Hu et al. · 2021 · 863 citations
mlr3: A modern object-oriented machine learning framework in R
Michel Lang, Martin Binder, Jakob Richter et al. · The Journal of Open Source Software · 2019 · 463 citations · Full text
1–5 of 159
599
9
h-index
Massachusetts Institute of Technology, United States
8 publications · 331 citations
8
h-index
7
h-index
6
h-index
6
h-index
1–5 of 599
149
Google (United States)
Mountain View, United States
10 h-index
27 publications
2.6K citations
Stanford University
Stanford, United States
9 h-index
27 publications
42K citations
University of California, Berkeley
Berkeley, United States
8 h-index
28 publications
1.9K citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
24 publications
11.5K citations
University of Oxford
Oxford, United Kingdom
7 h-index
19 publications
532 citations

University of Edinburgh
Edinburgh, United Kingdom
5 h-index
5 publications
142 citations
University College London
London, United Kingdom
5 h-index
7 publications
567 citations
Princeton University
Princeton, United States
4 h-index
8 publications
3.8K citations
1–8 of 149
Repository · 58 publications · 2.6K citations
28
h-index
Conference · 5 publications · 265 citations
5
h-index
TPAMI · 3 publications · 38 citations
3
h-index
Repository · 3 publications · 143 citations
3
h-index
Conference · 3 publications · 110 citations
3
h-index
1–5