Learning to Compose: Improving Object Centric Learning by Injecting Compositionality

1 May 2024

Papers citing "Learning to Compose: Improving Object Centric Learning by Injecting Compositionality"

7 / 7 papers shown

Title
Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval Stefan Sylvius Wagner Stefan Harmeling OCL 76 0 0 12 Mar 2025
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Adil Kaan Akan Yucel Yemez DiffM OCL 42 0 0 27 Jan 2025
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Lowe Andreas Geiger Max Welling AI4CE 77 6 0 17 Oct 2024
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 48 5 0 22 Jul 2024
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 59 58 0 02 Jul 2022
Self-Supervised Visual Representation Learning with Semantic Grouping Xin Wen Bingchen Zhao Anlin Zheng Xinming Zhang Xiaojuan Qi SSL 119 71 0 30 May 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 360 75,888 0 18 May 2015