:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Mingwin, Susano, Shisu, Yulong, Wanwag, Yongshuai, Huing, Sunshin
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition
Online-Zugang:	https://arxiv.org/abs/2404.19066
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Improved EATFormer: A Vision Transformer for Medical Image Classification
von: Shisu, Yulong, et al.
Veröffentlicht: (2024)

FViT: A Focal Vision Transformer with Gabor Filter
von: Shi, Yulong, et al.
Veröffentlicht: (2024)

EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
von: Shi, Yulong, et al.
Veröffentlicht: (2023)

big.LITTLE Vision Transformer for Efficient Visual Recognition
von: Guo, He, et al.
Veröffentlicht: (2024)

Vision-Based Lane Following and Traffic Sign Recognition for Resource-Constrained Autonomous Vehicles
von: Islam, Md Tanjemul, et al.
Veröffentlicht: (2026)

Breaking the Barriers: Video Vision Transformers for Word-Level Sign Language Recognition
von: Brettmann, Alexander, et al.
Veröffentlicht: (2025)

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

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

Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognition
von: Balat, Mazen, et al.
Veröffentlicht: (2025)

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

Jet: A Modern Transformer-Based Normalizing Flow
von: Kolesnikov, Alexander, et al.
Veröffentlicht: (2024)

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

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

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

Hierarchically Decoupled Mixture-of-Experts for Robust Traffic Sign Recognition in Complex Driving Scenarios
von: Wang, Mingxiao, et al.
Veröffentlicht: (2026)

Learning Under Low Illumination: A Dataset and Algorithm for Traffic Sign Recognition
von: Mishra, Aditya, et al.
Veröffentlicht: (2025)

Revolutionizing Traffic Management with AI-Powered Machine Vision: A Step Toward Smart Cities
von: DolatAbadi, Seyed Hossein Hosseini, et al.
Veröffentlicht: (2025)

Synset Signset Germany: a Synthetic Dataset for German Traffic Sign Recognition
von: Sielemann, Anne, et al.
Veröffentlicht: (2025)

Securing Traffic Sign Recognition Systems in Autonomous Vehicles
von: Hapuarachchi, Thushari, et al.
Veröffentlicht: (2025)

AppSign: Multi-level Approximate Computing for Real-Time Traffic Sign Recognition in Autonomous Vehicles
von: Omidian, Fatemeh, et al.
Veröffentlicht: (2024)

LA-Sign: Looped Transformers with Geometry-aware Alignment for Skeleton-based Sign Language Recognition
von: Pu, Muxin, et al.
Veröffentlicht: (2026)

Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network
von: Manawadu, Mayura, et al.
Veröffentlicht: (2024)

Sequence-Preserving Dual-FoV Defense for Traffic Sign and Light Recognition in Autonomous Vehicles
von: Joshi, Abhishek, et al.
Veröffentlicht: (2025)

FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition
von: Yuan, Shuai, et al.
Veröffentlicht: (2025)

Contrastive Learning-Driven Traffic Sign Perception: Multi-Modal Fusion of Text and Vision
von: Lu, Qiang, et al.
Veröffentlicht: (2025)

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

Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition
von: Pu, Muxin, et al.
Veröffentlicht: (2025)

Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
von: Gan, Yaozong, et al.
Veröffentlicht: (2024)

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

Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations
von: Garg, Sparsh, et al.
Veröffentlicht: (2025)

Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks
von: Cao, Hangcheng, et al.
Veröffentlicht: (2024)

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

Enhancing Traffic Sign Recognition with Tailored Data Augmentation: Addressing Class Imbalance and Instance Scarcity
von: Alsiyeu, Ulan, et al.
Veröffentlicht: (2024)

Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective
von: Wang, Ningfei, et al.
Veröffentlicht: (2024)

The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
von: Yuan, Shuai, et al.
Veröffentlicht: (2024)

Trapped by Their Own Light: Deployable and Stealth Retroreflective Patch Attacks on Traffic Sign Recognition Systems
von: Tsuruoka, Go, et al.
Veröffentlicht: (2025)

Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
von: Zhang, Ziyin, et al.
Veröffentlicht: (2023)

Road Traffic Sign Recognition method using Siamese network Combining Efficient-CNN based Encoder
von: Xi, Zhenghao, et al.
Veröffentlicht: (2025)

Stack Transformer Based Spatial-Temporal Attention Model for Dynamic Sign Language and Fingerspelling Recognition
von: Hirooka, Koki, et al.
Veröffentlicht: (2025)

SignIT: A Comprehensive Dataset and Multimodal Analysis for Italian Sign Language Recognition
von: Micieli, Alessia, et al.
Veröffentlicht: (2025)