Imagen de Portada

Human-like Object Grouping in Self-supervised Vision Transformers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Adeli, Hossein, Ahn, Seoyoung, Luo, Andrew, Zhang, Mengmi, Kriegeskorte, Nikolaus, Zelinsky, Gregory
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Neurons and Cognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Transformer brain encoders explain human high-level visual responses
por: Adeli, Hossein, et al.
Publicado: (2025)

In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
por: Hwang, Ethan, et al.
Publicado: (2025)

Human face perception reflects inverse-generative and naturalistic discriminative objectives
por: Guo, Wenxuan, et al.
Publicado: (2026)

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
por: Luo, Andrew F., et al.
Publicado: (2024)

Scaling Vision Transformers for Functional MRI with Flat Maps
por: Lane, Connor, et al.
Publicado: (2025)

Transformers self-organize like newborn visual systems when trained in prenatal worlds
por: Pandey, Lalit, et al.
Publicado: (2026)

Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision
por: Xie, Zhenping
Publicado: (2024)

Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
por: Li, Yihao, et al.
Publicado: (2025)

How does the primate brain combine generative and discriminative computations in vision?
por: Peters, Benjamin, et al.
Publicado: (2024)

Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion
por: Sun, Hongze, et al.
Publicado: (2024)

Reanimating Images using Neural Representations of Dynamic Stimuli
por: Yeung, Jacob, et al.
Publicado: (2024)

Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining
por: Wang, Yanchen, et al.
Publicado: (2025)

A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes
por: Mengers, Vito, et al.
Publicado: (2024)

Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
por: Shao, Zhenan, et al.
Publicado: (2024)

Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer
por: Beliy, Roman, et al.
Publicado: (2025)

Hierarchical Mesh Transformers with Topology-Guided Pretraining for Morphometric Analysis of Brain Structures
por: Xiong, Yujian, et al.
Publicado: (2026)

Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations
por: Lippl, Samuel, et al.
Publicado: (2024)

The Topology and Geometry of Neural Representations
por: Lin, Baihan, et al.
Publicado: (2023)

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
por: Wei, Ziquan, et al.
Publicado: (2024)

Deciphering Functions of Neurons in Vision-Language Models
por: Xu, Jiaqi, et al.
Publicado: (2025)

Characterizing Universal Object Representations Across Vision Models
por: Mahner, Florian P., et al.
Publicado: (2026)

SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding
por: Lin, YuSheng, et al.
Publicado: (2026)

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment
por: Hu, Yang, et al.
Publicado: (2025)

What Makes a Face Look like a Hat: Decoupling Low-level and High-level Visual Properties with Image Triplets
por: Piriyajitakonkij, Maytus, et al.
Publicado: (2024)

Utilizing Computer Vision for Continuous Monitoring of Vaccine Side Effects in Experimental Mice
por: Li, Chuang, et al.
Publicado: (2024)

Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis
por: Seo, Jungwoo, et al.
Publicado: (2025)

Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
por: Piper, Lucas, et al.
Publicado: (2025)

Self-Attention-Based Contextual Modulation Improves Neural System Identification
por: Lin, Isaac, et al.
Publicado: (2024)

Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
por: Piper, Lucas, et al.
Publicado: (2024)

Human-Aligned Evaluation of a Pixel-wise DNN Color Constancy Model
por: Heidari-Gorji, Hamed, et al.
Publicado: (2026)

A Multimodal Seq2Seq Transformer for Predicting Brain Responses to Naturalistic Stimuli
por: He, Qianyi, et al.
Publicado: (2025)

End-to-end Topographic Auditory Models Replicate Signatures of Human Auditory Cortex
por: Al-Tahan, Haider, et al.
Publicado: (2025)

Stimulus Motion Perception Studies Imply Specific Neural Computations in Human Visual Stabilization
por: Arathorn, David W, et al.
Publicado: (2025)

Simple 3D Pose Features Support Human and Machine Social Scene Understanding
por: Qin, Wenshuo, et al.
Publicado: (2025)

Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag
por: Huber, Lukas S., et al.
Publicado: (2024)

The Multiscale Surface Vision Transformer
por: Dahan, Simon, et al.
Publicado: (2023)

Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis
por: Chen, Minheng, et al.
Publicado: (2026)

ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imaging
por: Chen, Xuhang, et al.
Publicado: (2025)

Action Without Interaction: Probing the Physical Foundations of Video LMMs via Contact-Release Detection
por: Harari, Daniel, et al.
Publicado: (2025)

Grounding Social Perception in Intuitive Physics
por: Ying, Lance, et al.
Publicado: (2026)