Copertina

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Lei, Jingreng, Wang, Shuai, Ye, Rongguang, Zhu, Guangxu, Wu, Yik-Chung
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding
di: Kou, Wei-Bin, et al.
Pubblicazione: (2024)

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization
di: Kou, Wei-Bin, et al.
Pubblicazione: (2025)

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
di: Kou, Wei-Bin, et al.
Pubblicazione: (2024)

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator
di: Kou, Wei-Bin, et al.
Pubblicazione: (2025)

Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions
di: Kou, Wei-Bin, et al.
Pubblicazione: (2024)

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
di: Kou, Wei-Bin, et al.
Pubblicazione: (2024)

Statistic-Augmented, Decoupled MoE Routing and Aggregating in Autonomous Driving
di: Kou, Wei-Bin, et al.
Pubblicazione: (2025)

Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems
di: Ren, Zeyi, et al.
Pubblicazione: (2025)

FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving
di: Kou, Wei-Bin, et al.
Pubblicazione: (2025)

PraFFL: A Preference-Aware Scheme in Fair Federated Learning
di: Ye, Rongguang, et al.
Pubblicazione: (2024)

iMacHSR: Intermediate Multi-Access Heterogeneous Supervision and Regularization Scheme Toward Architecture-Agnostic Training
di: Kou, Wei-Bin, et al.
Pubblicazione: (2025)

Unveiling the Power of Complex-Valued Transformers in Wireless Communications
di: Leng, Yang, et al.
Pubblicazione: (2025)

A Unified Distributed Algorithm for Hybrid Near-Far Field Activity Detection in Cell-Free Massive MIMO
di: Lei, Jingreng, et al.
Pubblicazione: (2025)

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models
di: Ye, Rongguang, et al.
Pubblicazione: (2025)

Learning to Jointly Optimize Antenna Positioning and Beamforming for Movable Antenna-Aided Systems
di: Wang, Yikun, et al.
Pubblicazione: (2026)

Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications
di: Lei, Jingreng, et al.
Pubblicazione: (2025)

Deep Unfolding with Kernel-based Quantization in MIMO Detection
di: Ren, Zeyi, et al.
Pubblicazione: (2025)

Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
di: Ye, Rongguang, et al.
Pubblicazione: (2025)

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
di: Kou, Wei-Bin, et al.
Pubblicazione: (2023)

FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving
di: Kou, Wei-Bin, et al.
Pubblicazione: (2025)

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
di: Ye, Rongguang, et al.
Pubblicazione: (2024)

Model Evolution Under Zeroth-Order Optimization: A Neural Tangent Kernel Perspective
di: Zhang, Chen, et al.
Pubblicazione: (2026)

Handling Distance Constraint in Movable Antenna Aided Systems: A General Optimization Framework
di: Jin, Yichen, et al.
Pubblicazione: (2024)

Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach
di: Zhang, Hao, et al.
Pubblicazione: (2024)

RoboOcc: Enhancing the Geometric and Semantic Scene Understanding for Robots
di: Zhang, Zhang, et al.
Pubblicazione: (2025)

OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization
di: Kou, Wei-Bin, et al.
Pubblicazione: (2026)

Enhancing the Understanding of Urban Street Perception With LLM s and Street View Imagery
di: Xin Han, et al.
Pubblicazione: (2026)

Leveraging Retrieval-Augmented Tags for Large Vision-Language Understanding in Complex Scenes
di: Rivera, Antonio Carlos, et al.
Pubblicazione: (2024)

On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
di: Ye, Rongguang, et al.
Pubblicazione: (2025)

Rashomon in the Streets: Explanation Ambiguity in Scene Understanding
di: Spieker, Helge, et al.
Pubblicazione: (2025)

Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network
di: Jin, Yichen, et al.
Pubblicazione: (2025)

Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization
di: Chen, Jiayi, et al.
Pubblicazione: (2025)

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
di: Li, Guorui, et al.
Pubblicazione: (2026)

A General Optimization Framework for Tackling Distance Constraints in Movable Antenna-Aided Systems
di: Jin, Yichen, et al.
Pubblicazione: (2025)

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
di: Wan, Zhizhong, et al.
Pubblicazione: (2024)

What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies
di: Huang, Yaoqi, et al.
Pubblicazione: (2025)

State Machine of Thoughts: Leveraging Past Reasoning Trajectories for Enhancing Problem Solving
di: Liu, Jia, et al.
Pubblicazione: (2023)

When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding
di: Shu, Yan, et al.
Pubblicazione: (2025)

Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
di: Shang, Chikai, et al.
Pubblicazione: (2024)

Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation Training
di: Kou, Ethan, et al.
Pubblicazione: (2024)