Imagen de Portada

On Efficient Variants of Segment Anything Model: A Survey

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sun, Xiaorui, Liu, Jun, Shen, Heng Tao, Zhu, Xiaofeng, Hu, Ping
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Deep Instruction Tuning for Segment Anything Model
por: Huang, Xiaorui, et al.
Publicado: (2024)

Towards Generalized Range-View LiDAR Segmentation in Adverse Weather
por: Yang, Longyu, et al.
Publicado: (2025)

SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation
por: Han, Dongshen, et al.
Publicado: (2023)

EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
por: Zhang, Yuxuan, et al.
Publicado: (2024)

Part-aware Prompted Segment Anything Model for Adaptive Segmentation
por: Zhao, Chenhui, et al.
Publicado: (2024)

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
por: Huang, Shiqi, et al.
Publicado: (2025)

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
por: Yang, Longyu, et al.
Publicado: (2025)

Adapting Segment Anything Model for Unseen Object Instance Segmentation
por: Cao, Rui, et al.
Publicado: (2024)

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
por: Ye, Maoyuan, et al.
Publicado: (2024)

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
por: Lin, Yuqi, et al.
Publicado: (2025)

Segment and Caption Anything
por: Huang, Xiaoke, et al.
Publicado: (2023)

PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
por: Liu, Nanqing, et al.
Publicado: (2024)

Segment Anything for Videos: A Systematic Survey
por: Zhang, Chunhui, et al.
Publicado: (2024)

Matte Anything: Interactive Natural Image Matting with Segment Anything Models
por: Yao, Jingfeng, et al.
Publicado: (2023)

Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
por: Peng, Zelin, et al.
Publicado: (2023)

Continual Learning for Segment Anything Model Adaptation
por: Yang, Jinglong, et al.
Publicado: (2024)

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
por: Zhang, Jing, et al.
Publicado: (2025)

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
por: Miao, Juzheng, et al.
Publicado: (2024)

Matching Anything by Segmenting Anything
por: Li, Siyuan, et al.
Publicado: (2024)

TinySAM: Pushing the Envelope for Efficient Segment Anything Model
por: Shu, Han, et al.
Publicado: (2023)

Contour Field based Elliptical Shape Prior for the Segment Anything Model
por: Zhao, Xinyu, et al.
Publicado: (2025)

Segment Anything for Cell Tracking
por: Chen, Zhu, et al.
Publicado: (2025)

Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
por: Xie, Jun, et al.
Publicado: (2024)

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
por: Zhang, Chaoning, et al.
Publicado: (2023)

Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
por: Liu, Yang, et al.
Publicado: (2023)

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
por: Kaiser, Timo, et al.
Publicado: (2025)

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging
por: Teuber, Carolin, et al.
Publicado: (2025)

Segment Anything, Even Occluded
por: Tai, Wei-En, 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)

How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
por: Zhang, Yixin, et al.
Publicado: (2023)

Segment Anything Across Shots: A Method and Benchmark
por: Hu, Hengrui, et al.
Publicado: (2025)

StAR: Segment Anything Reasoner
por: Yun, Seokju, et al.
Publicado: (2026)

Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer
por: Shao, Xinyuan, et al.
Publicado: (2024)

CAD: Memory Efficient Convolutional Adapter for Segment Anything
por: Kim, Joohyeok, et al.
Publicado: (2024)

Annotation-Efficient Task Guidance for Medical Segment Anything
por: Ward, Tyler, et al.
Publicado: (2024)

Learning to Prompt Segment Anything Models
por: Huang, Jiaxing, et al.
Publicado: (2024)

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
por: Sun, Jin, et al.
Publicado: (2023)

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
por: Zhong, Ding, et al.
Publicado: (2025)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
por: Feng, Chen-Bin, et al.
Publicado: (2024)

Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation
por: Chen, Hang, et al.
Publicado: (2025)