Imagen de Portada

Specialized Change Detection using Segment Anything

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ahmad, Tahir, Saha, Sudipan
Formato:	Preprint
Publicado:	2024
Materias:	Image and Video Processing 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

Segment Using Just One Example
por: Vora, Pratik, et al.
Publicado: (2024)

Segment Anything for Histopathology
por: Griebel, Titus, et al.
Publicado: (2025)

Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data
por: Zhou, Yiming, et al.
Publicado: (2026)

Application of Segment Anything Model for Civil Infrastructure Defect Assessment
por: Ahmadi, Mohsen, et al.
Publicado: (2023)

Segment Anything in Medical Images
por: Ma, Jun, et al.
Publicado: (2023)

Segment Anything Model for Brain Tumor Segmentation
por: Zhang, Peng, et al.
Publicado: (2023)

ASPS: Augmented Segment Anything Model for Polyp Segmentation
por: Li, Huiqian, et al.
Publicado: (2024)

Autoadaptive Medical Segment Anything Model
por: Ward, Tyler, et al.
Publicado: (2025)

Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal
por: Zhang, Xiao Feng, et al.
Publicado: (2023)

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
por: Shi, Hairong, et al.
Publicado: (2024)

Segment Anything in Medical Images and Videos: Benchmark and Deployment
por: Ma, Jun, et al.
Publicado: (2024)

Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
por: Zhang, Yichi, et al.
Publicado: (2024)

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
por: Gao, Yifan, et al.
Publicado: (2023)

SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
por: Zhang, Dingyuan, et al.
Publicado: (2023)

Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
por: de Carvalho, Gabriel Bellon, et al.
Publicado: (2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop
por: Ma, Jun, et al.
Publicado: (2024)

Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2
por: Lou, Ange, et al.
Publicado: (2024)

SAM3D: Segment Anything Model in Volumetric Medical Images
por: Bui, Nhat-Tan, et al.
Publicado: (2023)

Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
por: Xu, Guoping, et al.
Publicado: (2026)

SAMwave: Wavelet-Driven Feature Enrichment for Effective Adaptation of Segment Anything Model
por: Yadav, Saurabh, et al.
Publicado: (2025)

MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation
por: Huang, Guantian, et al.
Publicado: (2024)

Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images
por: Ahmadi, Mohsen, et al.
Publicado: (2023)

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
por: Li, Yunxiang, et al.
Publicado: (2023)

MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection
por: Yang, Qiushi, et al.
Publicado: (2025)

SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
por: Chan, Trevor J., et al.
Publicado: (2024)

SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation
por: Huo, Jiayu, et al.
Publicado: (2024)

Rapid Bone Scintigraphy Enhancement via Semantic Prior Distillation from Segment Anything Model
por: Liang, Pengchen, et al.
Publicado: (2025)

Confidence Estimation in Unsupervised Deep Change Vector Analysis
por: Saha, Sudipan
Publicado: (2024)

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images
por: Shen, Yiqing, et al.
Publicado: (2024)

Segment Anything Model for Medical Images?
por: Huang, Yuhao, et al.
Publicado: (2023)

Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance
por: Zhao, Jiayi, et al.
Publicado: (2025)

Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)
por: Chen, Hongruixuan, et al.
Publicado: (2024)

Testing the Segment Anything Model on radiology data
por: de Almeida, José Guilherme, et al.
Publicado: (2023)

Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging
por: Yamagishi, Yosuke, et al.
Publicado: (2024)

AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models
por: Delaquintana-Aramendi, Uxue, et al.
Publicado: (2025)

Clinically-aligned ischemic stroke segmentation and ASPECTS scoring on NCCT imaging using a slice-gated loss on foundation representations
por: Azeem, Hiba, et al.
Publicado: (2026)

RobustSAM: Segment Anything Robustly on Degraded Images
por: Chen, Wei-Ting, et al.
Publicado: (2024)

Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis
por: Zhou, Xiren, et al.
Publicado: (2025)

MultiTaskDeltaNet: Change Detection-based Image Segmentation for Operando ETEM with Application to Carbon Gasification Kinetics
por: Niu, Yushuo, et al.
Publicado: (2025)

Non-Registration Change Detection: A Novel Change Detection Task and Benchmark Dataset
por: Shan, Zhe, et al.
Publicado: (2025)