Cover Image

Segment Anything in Light Fields for Real-Time Applications via Constrained Prompting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Goncharov, Nikolai, Dansereau, Donald G.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Light Field Based 6DoF Tracking of Previously Unobserved Objects
by: Goncharov, Nikolai, et al.
Published: (2025)

Surf-NeRF: Surface Regularised Neural Radiance Fields
by: Naylor, Jack, et al.
Published: (2024)

LBurst: Learning-Based Robotic Burst Feature Extraction for 3D Reconstruction in Low Light
by: Ravendran, Ahalya, et al.
Published: (2024)

SPLF-SAM: Self-Prompting Segment Anything Model for Light Field Salient Object Detection
by: Xu, Qiyao, et al.
Published: (2025)

Detect Anything in Real Time: From Single-Prompt Segmentation to Multi-Class Detection
by: Turkcan, Mehmet Kerem
Published: (2026)

TaCOS: Task-Specific Camera Optimization with Simulation
by: Yan, Chengyang, et al.
Published: (2024)

Adapting CNNs for Fisheye Cameras without Retraining
by: Griffiths, Ryan, et al.
Published: (2024)

Learning Underwater Active Perception in Simulation
by: Cardaillac, Alexandre, et al.
Published: (2025)

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

Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2
by: Rafaeli, Osher, et al.
Published: (2024)

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

Changes in Real Time: Online Scene Change Detection with Multi-View Fusion
by: Galappaththige, Chamuditha Jayanga, et al.
Published: (2025)

JOCA: Task-Driven Joint Optimisation of Camera Hardware and Adaptive Camera Control Algorithms
by: Yan, Chengyang, et al.
Published: (2025)

A 3D Reconstruction Benchmark for Asset Inspection
by: Gray, James L., et al.
Published: (2026)

RepViT-SAM: Towards Real-Time Segmenting Anything
by: Wang, Ao, et al.
Published: (2023)

EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything
by: Song, Joonhyeon, et al.
Published: (2024)

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

RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything
by: Xu, Shilin, et al.
Published: (2024)

Tokenize Anything via Prompting
by: Pan, Ting, et al.
Published: (2023)

Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
by: Ji, Wei, et al.
Published: (2023)

SAMIC: Segment Anything with In-Context Spatial Prompt Engineering
by: Nagendra, Savinay, et al.
Published: (2024)

Benchmarking Human and Automated Prompting in the Segment Anything Model
by: Quesada, Jorge, et al.
Published: (2024)

Fine-tuning Segment Anything for Real-Time Tumor Tracking in Cine-MRI
by: Boussot, Valentin, et al.
Published: (2025)

Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges
by: Jiang, Yidong
Published: (2025)

Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
by: Gaus, Yona Falinie A., et al.
Published: (2024)

Segment Anything in 3D with Radiance Fields
by: Cen, Jiazhong, et al.
Published: (2023)

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

YOLOE: Real-Time Seeing Anything
by: Wang, Ao, et al.
Published: (2025)

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
by: Wei, Zhikai, et al.
Published: (2024)

PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)

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

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything
by: Lee, Yongkyu, et al.
Published: (2024)

Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation
by: Wang, Jingyao, et al.
Published: (2025)

Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
by: Zhang, Yichi, et al.
Published: (2023)

Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
by: De Marinis, Pasquale, et al.
Published: (2024)

SAMAug: Point Prompt Augmentation for Segment Anything Model
by: Dai, Haixing, et al.
Published: (2023)

SAMSA 2.0: Prompting Segment Anything with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
by: Roddan, Alfie, et al.
Published: (2025)

Segment and Caption Anything
by: Huang, Xiaoke, et al.
Published: (2023)

Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting
by: Huai, Zheang, et al.
Published: (2025)

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