Grounded Object Centric Learning

18 July 2023

Avinash Kori

Francesco Locatello

Fabio De Sousa Ribeiro

Papers citing "Grounded Object Centric Learning"

21 / 21 papers shown

Title
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 68 7 0 22 Jul 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations Bhishma Dedhia N. Jha OCL 77 1 0 02 Feb 2024
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 93 1 0 18 Jan 2024
Bridging the Gap to Real-World Object-Centric Learning Maximilian Seitzer Max Horn Andrii Zadaianchuk Dominik Zietlow Tianjun Xiao ... Tong He Zheng Zhang Bernhard Schölkopf Thomas Brox Francesco Locatello OCL 61 145 0 29 Sep 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos Gamaleldin F. Elsayed Aravindh Mahendran Sjoerd van Steenkiste Klaus Greff Michael C. Mozer Thomas Kipf VOS OCL 83 141 0 15 Jun 2022
Conditional Object-Centric Learning from Video Thomas Kipf Gamaleldin F. Elsayed Aravindh Mahendran Austin Stone S. Sabour G. Heigold Rico Jonschkowski Alexey Dosovitskiy Klaus Greff OCL 66 215 0 24 Nov 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 90 917 0 11 May 2021
How to represent part-whole hierarchies in a neural network Geoffrey E. Hinton OCL MoE 57 200 0 25 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 284 4,873 0 24 Feb 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 252 259 0 09 Dec 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 141 832 0 26 Jun 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA Ilyes Khemakhem R. Monti Diederik P. Kingma Aapo Hyvarinen CML 34 112 0 26 Feb 2020
Learning by Abstraction: The Neural State Machine Drew A. Hudson Christopher D. Manning NAI OCL 42 259 0 09 Jul 2019
Capsule Routing via Variational Bayes Fabio De Sousa Ribeiro Georgios Leontidis Stefanos D. Kollias 29 82 0 27 May 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision Jiayuan Mao Chuang Gan Pushmeet Kohli J. Tenenbaum Jiajun Wu NAI 78 694 0 26 Apr 2019
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli J. Tenenbaum NAI 57 606 0 04 Oct 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 35 1,336 0 16 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 137 4,928 0 02 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 60 4,584 0 26 Oct 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 253 2,346 0 20 Dec 2016
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 126 12,384 0 24 Jun 2012