Cover Image

Hierarchically Decoupled Mixture-of-Experts for Robust Traffic Sign Recognition in Complex Driving Scenarios

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Mingxiao, Qu, Xiaozhen, Gao, Bolin, Wang, Tong, He, Lei
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CBDES MoE: Hierarchically Decoupled Mixture-of-Experts for Functional Modules in Autonomous Driving
by: Xiang, Qi, et al.
Published: (2025)

Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving
by: Dai, Yuqi, et al.
Published: (2024)

Traffic Sign Recognition in Autonomous Driving: Dataset, Benchmark, and Field Experiment
by: Zhao, Guoyang, et al.
Published: (2026)

Enhancing LLM-based Autonomous Driving with Modular Traffic Light and Sign Recognition
by: Schmidt, Fabian, et al.
Published: (2025)

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction
by: Wang, Huayi, et al.
Published: (2026)

Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios
by: Parikh, Chirag, et al.
Published: (2024)

Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
by: Jia, Ziqi, et al.
Published: (2025)

Driving with Context: Online Map Matching for Complex Roads Using Lane Markings and Scenario Recognition
by: Bi, Xin, et al.
Published: (2025)

Decoupled Hierarchical Distillation for Multimodal Emotion Recognition
by: Li, Yong, et al.
Published: (2026)

SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units
by: Wang, Ruibin, et al.
Published: (2026)

TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition
by: Zhao, Guoyang, et al.
Published: (2024)

T2I-Based Physical-World Appearance Attack against Traffic Sign Recognition Systems in Autonomous Driving
by: Ma, Chen, et al.
Published: (2025)

Rethinking Efficient Mixture-of-Experts for Remote Sensing Modality-Missing Classification
by: Gao, Qinghao, et al.
Published: (2025)

Spatio-temporal Decoupled Knowledge Compensator for Few-Shot Action Recognition
by: Qu, Hongyu, et al.
Published: (2026)

AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety
by: Zhang, Ronghui, et al.
Published: (2024)

DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
by: Wang, Yuhao, et al.
Published: (2024)

Hierarchical Sub-action Tree for Continuous Sign Language Recognition
by: Yang, Dejie, et al.
Published: (2025)

Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers
by: Mingwin, Susano, et al.
Published: (2024)

Generalizing Motion Planners with Mixture of Experts for Autonomous Driving
by: Sun, Qiao, et al.
Published: (2024)

SignEye: Traffic Sign Interpretation from Vehicle First-Person View
by: Yang, Chuang, et al.
Published: (2024)

Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
by: Shi, Yining, et al.
Published: (2023)

Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
by: Kunsági-Máté, Sándor, et al.
Published: (2024)

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring
by: Zhang, Ludan, et al.
Published: (2025)

Enhancing Traffic Sign Recognition On The Performance Based On Yolov8
by: Ibrahim, Baba, et al.
Published: (2025)

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models
by: Wang, Peiran, et al.
Published: (2025)

SAMoE-VLA: A Scene Adaptive Mixture-of-Experts Vision-Language-Action Model for Autonomous Driving
by: You, Zihan, et al.
Published: (2026)

Robust Audiovisual Speech Recognition Models with Mixture-of-Experts
by: Wu, Yihan, et al.
Published: (2024)

DocTron-Formula: Generalized Formula Recognition in Complex and Structured Scenarios
by: Zhong, Yufeng, et al.
Published: (2025)

DriveExplorer: Images-Only Decoupled 4D Reconstruction with Progressive Restoration for Driving View Extrapolation
by: Jia, Yuang, et al.
Published: (2025)

Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving
by: Wang, Jiyao, et al.
Published: (2024)

EvSign: Sign Language Recognition and Translation with Streaming Events
by: Zhang, Pengyu, et al.
Published: (2024)

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving
by: Yao, Wenhao, et al.
Published: (2026)

Mixture-of-Modality-Experts with Holistic Token Learning for Fine-Grained Multimodal Visual Analytics in Driver Action Recognition
by: Liu, Tianyi, et al.
Published: (2026)

YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
by: Meiraz, Ori, et al.
Published: (2025)

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling
by: Zhang, Jihai, et al.
Published: (2024)

A Trustworthy Method for Multimodal Emotion Recognition
by: Xue, Junxiao, et al.
Published: (2025)

Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks
by: Toshniwal, Dhruv, et al.
Published: (2024)

Comparing Performance of Preprocessing Techniques for Traffic Sign Recognition Using a HOG-SVM
by: Vieira, Luis
Published: (2025)

Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts
by: Wang, Songping, et al.
Published: (2026)

Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs
by: Liao, Haicheng, et al.
Published: (2025)