SamLP: A Customized Segment Anything Model for License Plate Detection
Fuente:
arXiv
Guardado en:
| Autores principales: | Ding, Haoxuan, Gao, Junyu, Yuan, Yuan, Wang, Qi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot
por: Ding, Haoxuan, et al.
Publicado: (2024)
por: Ding, Haoxuan, et al.
Publicado: (2024)
PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning
por: Anuvab, Md. Shahriar Rahman, et al.
Publicado: (2024)
por: Anuvab, Md. Shahriar Rahman, et al.
Publicado: (2024)
CharDiff-LP: A Diffusion Model with Character-Level Guidance for License Plate Image Restoration
por: Na, Kihyun, et al.
Publicado: (2025)
por: Na, Kihyun, et al.
Publicado: (2025)
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
por: Zhang, Yichi, et al.
Publicado: (2023)
por: Zhang, Yichi, et al.
Publicado: (2023)
Global License Plate Dataset
por: Agrawal, Siddharth
Publicado: (2024)
por: Agrawal, Siddharth
Publicado: (2024)
LP-LLM: End-to-End Real-World Degraded License Plate Text Recognition via Large Multimodal Models
por: Gong, Haoyan, et al.
Publicado: (2026)
por: Gong, Haoyan, et al.
Publicado: (2026)
Focus Entirety and Perceive Environment for Arbitrary-Shaped Text Detection
por: Han, Xu, et al.
Publicado: (2024)
por: Han, Xu, et al.
Publicado: (2024)
Real-Time Text Detection with Similar Mask in Traffic, Industrial, and Natural Scenes
por: Han, Xu, et al.
Publicado: (2024)
por: Han, Xu, et al.
Publicado: (2024)
License Plate Super-Resolution Using Diffusion Models
por: AlHalawani, Sawsan, et al.
Publicado: (2023)
por: AlHalawani, Sawsan, et al.
Publicado: (2023)
Implementation of Licensed Plate Detection and Noise Removal in Image Processing
por: Gao, Yiquan
Publicado: (2026)
por: Gao, Yiquan
Publicado: (2026)
LPLC: A Dataset for License Plate Legibility Classification
por: Wojcik, Lucas, et al.
Publicado: (2025)
por: Wojcik, Lucas, et al.
Publicado: (2025)
IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection
por: Zhang, Mingjin, et al.
Publicado: (2024)
por: Zhang, Mingjin, et al.
Publicado: (2024)
Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model
por: Yuan, Haobo, et al.
Publicado: (2024)
por: Yuan, Haobo, et al.
Publicado: (2024)
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
por: Ding, Lei, et al.
Publicado: (2023)
por: Ding, Lei, et al.
Publicado: (2023)
Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysis
por: Yuan, Cheng, et al.
Publicado: (2024)
por: Yuan, Cheng, et al.
Publicado: (2024)
A Dataset and Model for Realistic License Plate Deblurring
por: Gong, Haoyan, et al.
Publicado: (2024)
por: Gong, Haoyan, et al.
Publicado: (2024)
Layout-Independent License Plate Recognition via Integrated Vision and Language Models
por: Shabaninia, Elham, et al.
Publicado: (2025)
por: Shabaninia, Elham, et al.
Publicado: (2025)
RegCL: Continual Adaptation of Segment Anything Model via Model Merging
por: Shu, Yuan-Chen, et al.
Publicado: (2025)
por: Shu, Yuan-Chen, et al.
Publicado: (2025)
Spotlight Text Detector: Spotlight on Candidate Regions Like a Camera
por: Han, Xu, et al.
Publicado: (2024)
por: Han, Xu, et al.
Publicado: (2024)
ICPR 2026 Competition on Low-Resolution License Plate Recognition
por: Laroca, Rayson, et al.
Publicado: (2026)
por: Laroca, Rayson, et al.
Publicado: (2026)
VRAE: Vertical Residual Autoencoder for License Plate Denoising and Deblurring
por: Nguyen, Cuong, et al.
Publicado: (2025)
por: Nguyen, Cuong, et al.
Publicado: (2025)
Intelligent Traffic Surveillance for Real-Time Vehicle Detection, License Plate Recognition, and Speed Estimation
por: Mugizi, Bruce, et al.
Publicado: (2026)
por: Mugizi, Bruce, et al.
Publicado: (2026)
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
por: Wahd, Assefa Seyoum, et al.
Publicado: (2024)
por: Wahd, Assefa Seyoum, et al.
Publicado: (2024)
Matte Anything: Interactive Natural Image Matting with Segment Anything Models
por: Yao, Jingfeng, et al.
Publicado: (2023)
por: Yao, Jingfeng, et al.
Publicado: (2023)
Matching Anything by Segmenting Anything
por: Li, Siyuan, et al.
Publicado: (2024)
por: Li, Siyuan, et al.
Publicado: (2024)
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
por: Feng, Chen-Bin, et al.
Publicado: (2024)
por: Feng, Chen-Bin, et al.
Publicado: (2024)
License Plate Images Generation with Diffusion Models
por: Shpir, Mariia, et al.
Publicado: (2025)
por: Shpir, Mariia, et al.
Publicado: (2025)
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts
por: Zhu, Chenyang, et al.
Publicado: (2024)
por: Zhu, Chenyang, et al.
Publicado: (2024)
Segment Anything with Multiple Modalities
por: Xiao, Aoran, et al.
Publicado: (2024)
por: Xiao, Aoran, et al.
Publicado: (2024)
Segment Anything Across Shots: A Method and Benchmark
por: Hu, Hengrui, et al.
Publicado: (2025)
por: Hu, Hengrui, et al.
Publicado: (2025)
Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection
por: Gao, Shixuan, et al.
Publicado: (2024)
por: Gao, Shixuan, et al.
Publicado: (2024)
FANVID: A Benchmark for Face and License Plate Recognition in Low-Resolution Videos
por: Viswanathan, Kavitha, et al.
Publicado: (2025)
por: Viswanathan, Kavitha, et al.
Publicado: (2025)
SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
por: Chen, Tianrun, et al.
Publicado: (2025)
por: Chen, Tianrun, et al.
Publicado: (2025)
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
por: Li, Wenwen, et al.
Publicado: (2024)
por: Li, Wenwen, et al.
Publicado: (2024)
TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation
por: Wang, Tianyang, et al.
Publicado: (2025)
por: Wang, Tianyang, et al.
Publicado: (2025)
Segment and Caption Anything
por: Huang, Xiaoke, et al.
Publicado: (2023)
por: Huang, Xiaoke, et al.
Publicado: (2023)
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
por: Huang, Shiqi, et al.
Publicado: (2025)
por: Huang, Shiqi, et al.
Publicado: (2025)
Boosting Segment Anything Model Towards Open-Vocabulary Learning
por: Han, Xumeng, et al.
Publicado: (2023)
por: Han, Xumeng, et al.
Publicado: (2023)
RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything
por: Xu, Shilin, et al.
Publicado: (2024)
por: Xu, Shilin, et al.
Publicado: (2024)
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
por: Zhong, Ding, et al.
Publicado: (2025)
por: Zhong, Ding, et al.
Publicado: (2025)
Ejemplares similares
-
A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot
por: Ding, Haoxuan, et al.
Publicado: (2024) -
PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning
por: Anuvab, Md. Shahriar Rahman, et al.
Publicado: (2024) -
CharDiff-LP: A Diffusion Model with Character-Level Guidance for License Plate Image Restoration
por: Na, Kihyun, et al.
Publicado: (2025) -
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
por: Zhang, Yichi, et al.
Publicado: (2023) -
Global License Plate Dataset
por: Agrawal, Siddharth
Publicado: (2024)