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2311.08077
Cited By

Zero-Shot Segmentation of Eye Features Using the Segment Anything Model
(SAM)

v1v2 (latest)

Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)

Proceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), 2023

14 November 2023

Virmarie Maquiling

Sean Anthony Byrne

Marcus Nyström

Enkelejda Kasneci

ArXiv (abs)PDF HTML Github (3★)

Papers citing "Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)"

5 / 5 papers shown

Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development

497

11

0

18 Nov 2024

VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation

VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation

Chika Maduabuchi

Ericmoore Jossou

398

1

0

22 Oct 2024

Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images

Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million ImagesProceedings of the ACM on Computer Graphics and Interactive Techniques (CGIT), 2024

Virmarie Maquiling

Sean Anthony Byrne

Marco Carminati

Enkelejda Kasneci

406

5

0

11 Oct 2024

Zero-Shot Scene Change Detection

Zero-Shot Scene Change Detection

480

9

0

17 Jun 2024

LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images

LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye ImagesBehavior Research Methods (BRM), 2023

Sean Anthony Byrne

Virmarie Maquiling

Marcus Nyström

Enkelejda Kasneci

532

16

0

12 Sep 2023

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