Copertina

Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nishitsunoi, Kayato, Ohmura, Yoshiyuki, Komatsu, Takayuki, Kuniyoshi, Yasuo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Feature-Based Lie Group Transformer for Real-World Applications
di: Komatsu, Takayuki, et al.
Pubblicazione: (2025)

Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation
di: Kim, Heecheol, et al.
Pubblicazione: (2022)

Transformation Categorization Based on Group Decomposition Theory Using Parameter Division
di: Komatsu, Takayuki, et al.
Pubblicazione: (2026)

Exploration-assisted Bottleneck Transition Toward Robust and Data-efficient Deformable Object Manipulation
di: Onishi, Yujiro, et al.
Pubblicazione: (2026)

Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks
di: Takizawa, Ryo, et al.
Pubblicazione: (2025)

Unsupervised Learning of Inter-Object Relationships via Group Homomorphism
di: Ushida, Kyotaro, et al.
Pubblicazione: (2026)

EVA: Bridging Performance and Human Alignment in Hard-Attention Vision Models for Image Classification
di: Pan, Pengcheng, et al.
Pubblicazione: (2026)

Considering a generative mechanism of consciousness from the perspective of inter-level causation
di: Ohmura, Yoshiyuki, et al.
Pubblicazione: (2025)

Emergence of Fixational and Saccadic Movements in a Multi-Level Recurrent Attention Model for Vision
di: Pan, Pengcheng, et al.
Pubblicazione: (2025)

Defining causal mechanism in dual process theory and two types of feedback control
di: Ohmura, Yoshiyuki, et al.
Pubblicazione: (2026)

Dual-Laws Model for a theory of artificial consciousness
di: Ohmura, Yoshiyuki, et al.
Pubblicazione: (2026)

Mental causation in a physical world: A self-causation model of downward causation
di: Ohmura, Yoshiyuki, et al.
Pubblicazione: (2023)

Causal Stance
di: Ohmura, Yoshiyuki, et al.
Pubblicazione: (2026)

Unsupervised categorization of similarity measures
di: Ohmura, Yoshiyuki, et al.
Pubblicazione: (2025)

Patient-Conditioned Adaptive Offsets for Reliable Diagnosis across Subgroups
di: Xu, Gelei, et al.
Pubblicazione: (2026)

Transformer-based deep imitation learning for dual-arm robot manipulation
di: Kim, Heecheol, et al.
Pubblicazione: (2021)

Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation
di: Hwa, Jensen, et al.
Pubblicazione: (2024)

Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification
di: Habib, Gousia, et al.
Pubblicazione: (2024)

Gaze-Guided Task Decomposition for Imitation Learning in Robotic Manipulation
di: Takizawa, Ryo, et al.
Pubblicazione: (2025)

Surface Normal Estimation with Transformers
di: Hu, Barry Shichen, et al.
Pubblicazione: (2024)

Imitation Learning for Active Neck Motion Enabling Robot Manipulation beyond the Field of View
di: Nakagawa, Koki, et al.
Pubblicazione: (2025)

UniT: Unified Geometry Learning with Group Autoregressive Transformer
di: Wang, Haotian, et al.
Pubblicazione: (2026)

Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients
di: Lind, Simon Kristoffersson, et al.
Pubblicazione: (2024)

Robust and Real-time Surface Normal Estimation from Stereo Disparities using Affine Transformations
di: Kariko, Csongor Csanad, et al.
Pubblicazione: (2025)

Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation
di: Ren, Huan, et al.
Pubblicazione: (2025)

High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model
di: Ramesh, Eshan, et al.
Pubblicazione: (2025)

Targeted Forgetting of Image Subgroups in CLIP Models
di: Zhang, Zeliang, et al.
Pubblicazione: (2025)

Normalized Matching Transformer
di: Pourhadi, Abtin, et al.
Pubblicazione: (2025)

Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization
di: Li, Jinghan, et al.
Pubblicazione: (2026)

Multi-task real-robot data with gaze attention for dual-arm fine manipulation
di: Kim, Heecheol, et al.
Pubblicazione: (2024)

Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
di: Kim, Heecheol, et al.
Pubblicazione: (2021)

Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
di: Yu, Zhipeng, et al.
Pubblicazione: (2025)

NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors
di: Bin, Yanrui, et al.
Pubblicazione: (2025)

MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers
di: Bae, Jongseong, et al.
Pubblicazione: (2024)

A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping
di: Laczkó, Hunor, et al.
Pubblicazione: (2023)

CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation
di: Ge, Jinchao, et al.
Pubblicazione: (2024)

Group Diffusion Transformers are Unsupervised Multitask Learners
di: Huang, Lianghua, et al.
Pubblicazione: (2024)

Analyzing the Training Dynamics of Image Restoration Transformers: A Revisit to Layer Normalization
di: Lee, MinKyu, et al.
Pubblicazione: (2025)

Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection
di: Yao, Haiming, et al.
Pubblicazione: (2024)

Enhancing Transformers Through Conditioned Embedded Tokens
di: Saratchandran, Hemanth, et al.
Pubblicazione: (2025)