Image de couverture de livre

A Multispectral Automated Transfer Technique (MATT) for machine-driven image labeling utilizing the Segment Anything Model (SAM)

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gallagher, James E., Gogia, Aryav, Oughton, Edward J.
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges
par: Gallagher, James E., et autres
Publié: (2024)

AMLID: An Adaptive Multispectral Landmine Identification Dataset for Drone-Based Detection
par: Gallagher, James E., et autres
Publié: (2025)

Evaluating an Adaptive Multispectral Turret System for Autonomous Tracking Across Variable Illumination Conditions
par: Sachdeva, Aahan, et autres
Publié: (2025)

VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data
par: Gallagher, James E., et autres
Publié: (2024)

AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
par: Li, Yuchen, et autres
Publié: (2024)

StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
par: Nguyen, Duy M. H., et autres
Publié: (2026)

Multi-temporal Adaptive Red-Green-Blue and Long-Wave Infrared Fusion for You Only Look Once-Based Landmine Detection from Unmanned Aerial Systems
par: Gallagher, James E., et autres
Publié: (2025)

PTQ4SAM: Post-Training Quantization for Segment Anything
par: Lv, Chengtao, et autres
Publié: (2024)

SAM 2: Segment Anything in Images and Videos
par: Ravi, Nikhila, et autres
Publié: (2024)

DeiSAM: Segment Anything with Deictic Prompting
par: Shindo, Hikaru, et autres
Publié: (2024)

WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
par: Liu, Hong, et autres
Publié: (2024)

Atlas-Assisted Segment Anything Model for Fetal Brain MRI (FeTal-SAM)
par: Zeng, Qi, et autres
Publié: (2026)

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2
par: Adamyan, Alen, et autres
Publié: (2025)

MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps
par: Xia, Xue, et autres
Publié: (2024)

Medical SAM 2: Segment medical images as video via Segment Anything Model 2
par: Zhu, Jiayuan, et autres
Publié: (2024)

EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss
par: Zhang, Zhuoyang, et autres
Publié: (2024)

From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model
par: Geetha, Athulya Sundaresan, et autres
Publié: (2024)

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
par: Ye, Maoyuan, et autres
Publié: (2024)

Compress Any Segment Anything Model (SAM)
par: Fan, Juntong, et autres
Publié: (2025)

SAM3-I: Segment Anything with Instructions
par: Li, Jingjing, et autres
Publié: (2025)

PaveSAM Segment Anything for Pavement Distress
par: Owor, Neema Jakisa, et autres
Publié: (2024)

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model
par: Hu, Meiqi, et autres
Publié: (2025)

BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
par: Su, Encheng, et autres
Publié: (2025)

TinySAM: Pushing the Envelope for Efficient Segment Anything Model
par: Shu, Han, et autres
Publié: (2023)

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
par: Zhang, Jing, et autres
Publié: (2025)

AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization
par: Zhang, Wenlun, et autres
Publié: (2025)

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
par: Zhong, Ding, et autres
Publié: (2025)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
par: Wu, Junde, et autres
Publié: (2023)

SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation
par: Tang, Zixuan, et autres
Publié: (2026)

SAM 3: Segment Anything with Concepts
par: Carion, Nicolas, et autres
Publié: (2025)

RemoteSAM: Towards Segment Anything for Earth Observation
par: Yao, Liang, et autres
Publié: (2025)

PosSAM: Panoptic Open-vocabulary Segment Anything
par: VS, Vibashan, et autres
Publié: (2024)

TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
par: Yu, Yang, et autres
Publié: (2024)

PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model
par: Wang, Yuqing, et autres
Publié: (2024)

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
par: Kaiser, Timo, et autres
Publié: (2025)

UV-SAM: Adapting Segment Anything Model for Urban Village Identification
par: Zhang, Xin, et autres
Publié: (2024)

SAM3-UNet: Simplified Adaptation of Segment Anything Model 3
par: Xiong, Xinyu, et autres
Publié: (2025)

PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
par: Rahman, Md Mostafijur, et autres
Publié: (2024)

S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
par: Paranjape, Jay N., et autres
Publié: (2024)

SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
par: Trinh, Quoc-Huy, et autres
Publié: (2024)