Cover Image

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amini, Kooshan, Liu, Yuhao, Padgett, Jamie Ellen, Balakrishnan, Guha, Veeraraghavan, Ashok
Format:	Preprint
Published:	2025
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

Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation
by: Vyas, Kushal, et al.
Published: (2025)

GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation
by: Liu, Yuhao, et al.
Published: (2026)

COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
by: Cheung, Matt Y., et al.
Published: (2025)

Efficient Conformal Volumetry for Template-Based Segmentation
by: Cheung, Matt Y., et al.
Published: (2026)

NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigation
by: Jiang, Weiyun, et al.
Published: (2023)

The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations
by: Vyas, Kushal, et al.
Published: (2026)

FastAvatar: Instant 3D Gaussian Splatting for Faces from Single Unconstrained Poses
by: Liang, Hao, et al.
Published: (2025)

Learning Transferable Features for Implicit Neural Representations
by: Vyas, Kushal, et al.
Published: (2024)

DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays
by: Sun, Yiran, et al.
Published: (2024)

Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
by: Michalkiewicz, Mateusz, et al.
Published: (2024)

AD-SAM: Fine-Tuning the Segment Anything Vision Foundation Model for Autonomous Driving Perception
by: Camarena, Mario, et al.
Published: (2025)

Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction
by: Cheung, Matt Y, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV Imagery
by: Wasil, Mohammad, et al.
Published: (2025)

FedEU: Evidential Uncertainty-Driven Federated Fine-Tuning of Vision Foundation Models for Remote Sensing Image Segmentation
by: Zhang, Xiaokang, et al.
Published: (2026)

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
by: Zhao, Dong, et al.
Published: (2025)

Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
by: Silva-Rodríguez, Julio, et al.
Published: (2023)

Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation
by: Zhang, Yin, et al.
Published: (2025)

Personalized Federated Fine-Tuning of Vision Foundation Models for Healthcare
by: Tupper, Adam, et al.
Published: (2025)

Recognition of Daily Activities through Multi-Modal Deep Learning: A Video, Pose, and Object-Aware Approach for Ambient Assisted Living
by: Hashemifard, Kooshan, et al.
Published: (2026)

DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction
by: Ham, Yujin, et al.
Published: (2024)

Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations
by: Zeng, Chengxi, et al.
Published: (2025)

TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation Models
by: Yu, Meng, et al.
Published: (2025)

Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition
by: Drozdova, Mariia, et al.
Published: (2024)

Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?
by: Fuster-Barceló, Caterina, et al.
Published: (2026)

PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection
by: Dong, Sijun, et al.
Published: (2025)

Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models
by: Cai, Zijie, et al.
Published: (2025)

Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving
by: Keser, Mert, et al.
Published: (2025)

ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation
by: Haji-Ali, Moayed, et al.
Published: (2023)

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
by: Marti-Escofet, Francesc, et al.
Published: (2025)

MERGETUNE: Continued Fine-Tuning of Vision-Language Models
by: Wang, Wenqing, et al.
Published: (2026)

Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
by: Wang, Jin, et al.
Published: (2025)

Annotation Free Semantic Segmentation with Vision Foundation Models
by: Seifi, Soroush, et al.
Published: (2024)

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

Debiased Fine-Tuning for Vision-language Models by Prompt Regularization
by: Zhu, Beier, et al.
Published: (2023)

Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos
by: Ham, Yujin, et al.
Published: (2026)

ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models
by: Liu, Yuqi, et al.
Published: (2025)

Fairness and Bias Mitigation in Computer Vision: A Survey
by: Dehdashtian, Sepehr, et al.
Published: (2024)

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation
by: Zhang, Xiaoran, et al.
Published: (2025)

TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
by: Yu, Yang, et al.
Published: (2024)

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging
by: Teuber, Carolin, et al.
Published: (2025)