Copertina

Evaluating Object-Centric Models beyond Object Discovery

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Singh, Krishnakant, Schaub-Meyer, Simone, Roth, Stefan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GLASS: Guided Latent Slot Diffusion for Object-Centric Learning
di: Singh, Krishnakant, et al.
Pubblicazione: (2024)

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
di: Gong, Xinrui, et al.
Pubblicazione: (2025)

Benchmarking the Attribution Quality of Vision Models
di: Hesse, Robin, et al.
Pubblicazione: (2024)

Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
di: Singh, Krishnakant, et al.
Pubblicazione: (2024)

MUFASA: A Multi-Layer Framework for Slot Attention
di: Bock, Sebastian, et al.
Pubblicazione: (2026)

Disentangling Polysemantic Channels in Convolutional Neural Networks
di: Hesse, Robin, et al.
Pubblicazione: (2025)

Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
di: Hesse, Robin, et al.
Pubblicazione: (2025)

What is Missing? Explaining Neurons Activated by Absent Concepts
di: Hesse, Robin, et al.
Pubblicazione: (2026)

Are Object-Centric Representations Better At Compositional Generalization?
di: Kapl, Ferdinand, et al.
Pubblicazione: (2026)

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model
di: Endres, Jannik, et al.
Pubblicazione: (2025)

Simplified priors for Object-Centric Learning
di: Patil, Vihang, et al.
Pubblicazione: (2024)

Oh-A-DINO: Understanding and Enhancing Attribute-Level Information in Self-Supervised Object-Centric Representations
di: Wagner, Stefan Sylvius, et al.
Pubblicazione: (2025)

Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
di: Mamaghan, Amir Mohammad Karimi, et al.
Pubblicazione: (2024)

Grouped Discrete Representation for Object-Centric Learning
di: Zhao, Rongzhen, et al.
Pubblicazione: (2024)

Zero-Shot Object-Centric Representation Learning
di: Didolkar, Aniket, et al.
Pubblicazione: (2024)

Object-Centric Relational Representations for Image Generation
di: Butera, Luca, et al.
Pubblicazione: (2023)

Object-Centric Diffusion for Efficient Video Editing
di: Kahatapitiya, Kumara, et al.
Pubblicazione: (2024)

Learning Action-Conditional and Object-Centric Gaussian Splatting World Models for Rigid Objects
di: Kreber, Jens U., et al.
Pubblicazione: (2026)

Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning
di: Moon, WonJun, et al.
Pubblicazione: (2026)

Object-Centric Cropping for Visual Few-Shot Classification
di: Abdali, Aymane, et al.
Pubblicazione: (2025)

Grounded Object Centric Learning
di: Kori, Avinash, et al.
Pubblicazione: (2023)

Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints
di: Yuan, Jinyang, et al.
Pubblicazione: (2024)

Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
di: Jung, Whie, et al.
Pubblicazione: (2024)

Are We Done with Object-Centric Learning?
di: Rubinstein, Alexander, et al.
Pubblicazione: (2025)

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
di: Küçüksözen, Can, et al.
Pubblicazione: (2025)

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
di: Meo, Cristian, et al.
Pubblicazione: (2024)

GTA: Guided Transfer of Spatial Attention from Object-Centric Representations
di: Seo, SeokHyun, et al.
Pubblicazione: (2024)

Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning
di: Zhang, Weipu, et al.
Pubblicazione: (2025)

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
di: Akan, Adil Kaan, et al.
Pubblicazione: (2025)

Interpretability Without Tradeoffs: Disentangling Polysemanticity At Equal Predictive Performance
di: Bağcı, Doğukan, et al.
Pubblicazione: (2026)

DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
di: Zhao, Yanpeng, et al.
Pubblicazione: (2023)

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles
di: Daniel, Tal, et al.
Pubblicazione: (2023)

MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
di: Liu, Hongjia, et al.
Pubblicazione: (2025)

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
di: Zadaianchuk, Andrii, et al.
Pubblicazione: (2023)

Union-over-Intersections: Object Detection beyond Winner-Takes-All
di: Bhowmik, Aritra, et al.
Pubblicazione: (2023)

Object-Centric Learning with Slot Mixture Module
di: Kirilenko, Daniil, et al.
Pubblicazione: (2023)

Reasoning-Enhanced Object-Centric Learning for Videos
di: Li, Jian, et al.
Pubblicazione: (2024)

Explicitly Disentangled Representations in Object-Centric Learning
di: Majellaro, Riccardo, et al.
Pubblicazione: (2024)

Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
di: Haramati, Dan, et al.
Pubblicazione: (2024)

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
di: Fan, Ke, et al.
Pubblicazione: (2024)