SAMStyler: Enhancing Visual Creativity With Neural Style Transfer and Segment Anything Model (SAM)

SAMStyler: Enhancing Visual Creativity With Neural Style Transfer and Segment Anything Model (SAM)

Neural Style Transfer (NST) is a popular technique of computer vision where the content of an image is blended with the style of another, which results in a fused image with certain properties of both original images. This approach has practical applications in various domains and has garnered signi...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Konstantinos Psychogyios, Helen C. Leligou, Filisia Melissari, Stavroula Bourou, Zacharias Anastasakis, Theodore Zahariadis
Formáid:	Alt
Teanga:	English
Foilsithe / Cruthaithe:	IEEE 2023-01-01
Sraith:	IEEE Access
Ábhair:	Segment anything model segment anything segmentation machine learning style transfer
Rochtain ar líne:	https://ieeexplore.ieee.org/document/10250775/

Míreanna comhchosúla

The Segment Anything Model (SAM) for accelerating the smart farming revolution
de réir: Alberto Carraro, et al.
Foilsithe / Cruthaithe: (2023-12-01)

Crater Detection and Population Statistics in Tianwen-1 Landing Area Based on Segment Anything Model (SAM)
de réir: Yaqi Zhao, et al.
Foilsithe / Cruthaithe: (2024-05-01)

GDPGO-SAM: An Unsupervised Fine Segmentation of Desert Vegetation Driven by Grounding DINO Prompt Generation and Optimization Segment Anything Model
de réir: Shuzhen Hua, et al.
Foilsithe / Cruthaithe: (2025-02-01)

Breast Delineation in Full-Field Digital Mammography Using the Segment Anything Model
de réir: Andrés Larroza, et al.
Foilsithe / Cruthaithe: (2024-05-01)

WaterSAM: Adapting SAM for Underwater Object Segmentation
de réir: Yang Hong, et al.
Foilsithe / Cruthaithe: (2024-09-01)

ASDeM: Augmenting SAM With Decoupled Memory for Video Object Segmentation
de réir: Xiaohu Liu, et al.
Foilsithe / Cruthaithe: (2024-01-01)

A Point Cloud Segmentation Method for Dim and Cluttered Underground Tunnel Scenes Based on the Segment Anything Model
de réir: Jitong Kang, et al.
Foilsithe / Cruthaithe: (2023-12-01)

RSPS-SAM: A Remote Sensing Image Panoptic Segmentation Method Based on SAM
de réir: Zhuoran Liu, et al.
Foilsithe / Cruthaithe: (2024-10-01)

Pre‐trained SAM as data augmentation for image segmentation
de réir: Junjun Wu, et al.
Foilsithe / Cruthaithe: (2025-02-01)

Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot
de réir: Daiqing Tan, et al.
Foilsithe / Cruthaithe: (2025-01-01)

Cotton Yield Prediction via UAV-Based Cotton Boll Image Segmentation Using YOLO Model and Segment Anything Model (SAM)
de réir: Janvita Reddy, et al.
Foilsithe / Cruthaithe: (2024-11-01)

DED-SAM:Adapting Segment Anything Model 2 for Dual Encoder–Decoder Change Detection
de réir: Junlong Qiu, et al.
Foilsithe / Cruthaithe: (2025-01-01)

Exploring Semantic Prompts in the Segment Anything Model for Domain Adaptation
de réir: Ziquan Wang, et al.
Foilsithe / Cruthaithe: (2024-02-01)

Improving Data Augmentation for YOLOv5 Using Enhanced Segment Anything Model
de réir: Benyu Xu, et al.
Foilsithe / Cruthaithe: (2024-02-01)

Accelerating pharmaceutical R&D with a user-friendly AI system for histopathology image analysis
de réir: Brendon Lutnick, et al.
Foilsithe / Cruthaithe: (2023-01-01)

RSAM-Seg: A SAM-Based Model with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
de réir: Jie Zhang, et al.
Foilsithe / Cruthaithe: (2025-02-01)

Tea leaf disease detection using segment anything model and deep convolutional neural networks
de réir: Ananthakrishnan Balasundaram, et al.
Foilsithe / Cruthaithe: (2025-03-01)

Tuning a SAM-Based Model With Multicognitive Visual Adapter to Remote Sensing Instance Segmentation
de réir: Linghao Zheng, et al.
Foilsithe / Cruthaithe: (2025-01-01)

Segment anything model for few-shot medical image segmentation with domain tuning
de réir: Weili Shi, et al.
Foilsithe / Cruthaithe: (2024-11-01)

A Rapid Construction Method for High-Throughput Wheat Grain Instance Segmentation Dataset Using High-Resolution Images
de réir: Qi Gao, et al.
Foilsithe / Cruthaithe: (2024-05-01)

Detection of Benggang in Remote Sensing Imagery through Integration of Segmentation Anything Model with Object-Based Classification
de réir: Yixin Hu, et al.
Foilsithe / Cruthaithe: (2024-01-01)

WSPolyp-SAM: Weakly Supervised and Self-Guided Fine-Tuning of SAM for Colonoscopy Polyp Segmentation
de réir: Tingting Cai, et al.
Foilsithe / Cruthaithe: (2024-06-01)

ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy Images
de réir: Gustavo Zanoni Felipe, et al.
Foilsithe / Cruthaithe: (2025-01-01)

A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency
de réir: Yinxia Cao, et al.
Foilsithe / Cruthaithe: (2025-03-01)

Leveraging Segment Anything Model (SAM) for Weld Defect Detection in Industrial Ultrasonic B-Scan Images
de réir: Amir-M. Naddaf-Sh, et al.
Foilsithe / Cruthaithe: (2025-01-01)

AGSAM: Agent-Guided Segment Anything Model for Automatic Segmentation in Few-Shot Scenarios
de réir: Hao Zhou, et al.
Foilsithe / Cruthaithe: (2024-04-01)

Multiscale Adapter Based on SAM for Remote Sensing Semantic Segmentation
de réir: Shanjuan Chen, et al.
Foilsithe / Cruthaithe: (2025-01-01)

Segment Anything Model Combined with Multi-Scale Segmentation for Extracting Complex Cultivated Land Parcels in High-Resolution Remote Sensing Images
de réir: Zhongxin Huang, et al.
Foilsithe / Cruthaithe: (2024-09-01)

BSDSNet: Dual-Stream Feature Extraction Network Based on Segment Anything Model for Synthetic Aperture Radar Land Cover Classification
de réir: Yangyang Wang, et al.
Foilsithe / Cruthaithe: (2024-03-01)

Adapting the Segment Anything Model for Volumetric X-ray Data-Sets of Arbitrary Sizes
de réir: Roland Gruber, et al.
Foilsithe / Cruthaithe: (2024-04-01)

Reducing Training Data Using Pre-Trained Foundation Models: A Case Study on Traffic Sign Segmentation Using the Segment Anything Model
de réir: Sofia Henninger, et al.
Foilsithe / Cruthaithe: (2024-09-01)

Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model
de réir: Gabriel A. A. Monteiro, et al.
Foilsithe / Cruthaithe: (2025-01-01)

A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery
de réir: Armin Moghimi, et al.
Foilsithe / Cruthaithe: (2024-01-01)

An efficient segment anything model for the segmentation of medical images
de réir: Guanliang Dong, et al.
Foilsithe / Cruthaithe: (2024-08-01)

<italic>EMSNet:</italic> Efficient Multimodal Symmetric Network for Semantic Segmentation of Urban Scene From Remote Sensing Imagery
de réir: Yejian Zhou, et al.
Foilsithe / Cruthaithe: (2025-01-01)

RafanoSet: Dataset of raw, manually, and automatically annotated Raphanus Raphanistrum weed images for object detection and segmentation.
de réir: Shubham Rana, et al.
Foilsithe / Cruthaithe: (2024-06-01)

Segment-anything embedding for pixel-level road damage extraction using high-resolution satellite images
de réir: Shuangcheng Zhang, et al.
Foilsithe / Cruthaithe: (2024-07-01)

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation
de réir: Peilun Shi, et al.
Foilsithe / Cruthaithe: (2023-06-01)

Gaze Assistance for Efficient Segmentation Correction of Medical Images
de réir: Leila Khaertdinova, et al.
Foilsithe / Cruthaithe: (2025-01-01)

Large multimodal model for open vocabulary semantic segmentation of remote sensing images
de réir: Bing Liu, et al.
Foilsithe / Cruthaithe: (2025-12-01)