Image de couverture de livre

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wei, Jie, Ardiles-Cruz, Erika, Panasyuk, Aleksey, Blasch, Erik
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment
par: Wei, Jie, et autres
Publié: (2023)

MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery
par: Zhu, Qinfeng, et autres
Publié: (2024)

Smart Transfer: Leveraging Vision Foundation Model for Rapid Building Damage Mapping with Post-Earthquake VHR Imagery
par: Li, Hao, et autres
Publié: (2026)

SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery
par: Ma, Qiwei, et autres
Publié: (2025)

Efficient Temporal Action Segmentation via Boundary-aware Query Voting
par: Wang, Peiyao, et autres
Publié: (2024)

TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge
par: Zhang, Shu-Hao, et autres
Publié: (2025)

Procedural Knowledge Extraction from Industrial Troubleshooting Guides Using Vision Language Models
par: de Avalle, Guillermo Gil, et autres
Publié: (2026)

FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph
par: Liu, Zhangding, et autres
Publié: (2025)

Multi-Aspect Knowledge-Enhanced Medical Vision-Language Pretraining with Multi-Agent Data Generation
par: Li, Xieji, et autres
Publié: (2025)

Efficient Few-Shot Learning in Remote Sensing: Fusing Vision and Vision-Language Models
par: Chua, Jia Yun, et autres
Publié: (2025)

Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification
par: Pandiani, Delfina Sol Martinez, et autres
Publié: (2024)

Landsat30-AU: A Vision-Language Dataset for Australian Landsat Imagery
par: Ma, Sai, et autres
Publié: (2025)

Satellite-to-Street: Synthesizing Post-Disaster Views from Satellite Imagery via Generative Vision Models
par: Yang, Yifan, et autres
Publié: (2026)

Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models
par: Esparza, Miguel, et autres
Publié: (2025)

Lightweight Multimodal Adaptation of Vision Language Models for Species Recognition and Habitat Context Interpretation in Drone Thermal Imagery
par: Chen, Hao, et autres
Publié: (2026)

Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
par: Wang, Xiangxu, et autres
Publié: (2025)

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models
par: Wang, Dongdong, et autres
Publié: (2026)

Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
par: Jia, Yuyu, et autres
Publié: (2024)

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery
par: Xie, Yiqun, et autres
Publié: (2024)

SatBLIP: Context Understanding and Feature Identification from Satellite Imagery with Vision-Language Learning
par: Wu, Xue, et autres
Publié: (2026)

ThermEval: A Structured Benchmark for Evaluation of Vision-Language Models on Thermal Imagery
par: Shrivastava, Ayush, et autres
Publié: (2026)

Delineating Knowledge Boundaries for Honest Large Vision-Language Models
par: Song, Junru, et autres
Publié: (2026)

Generating Satellite Imagery Data for Wildfire Detection through Mask-Conditioned Generative AI
par: Martin, Valeria, et autres
Publié: (2026)

Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation
par: Avogaro, Niccolo, et autres
Publié: (2025)

When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning
par: Luo, Junwei, et autres
Publié: (2025)

Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation
par: Li, Guopeng, et autres
Publié: (2024)

KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
par: Li, Yingshu, et autres
Publié: (2024)

Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation
par: Zheng, Anlin, et autres
Publié: (2025)

A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery
par: Manzini, Thomas, et autres
Publié: (2025)

Conformal Predictions for Human Action Recognition with Vision-Language Models
par: Tim, Bary, et autres
Publié: (2025)

ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models
par: Wei, Guoyizhe, et autres
Publié: (2025)

Post-Disaster Affected Area Segmentation with a Vision Transformer (ViT)-based EVAP Model using Sentinel-2 and Formosat-5 Imagery
par: Chu, Yi-Shan, et autres
Publié: (2025)

DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models
par: Shi, Zhiyi, et autres
Publié: (2025)

Fine-tuning Pre-trained Vision-Language Models in a Human-Annotation-Free Manner
par: Wang, Qian-Wei, et autres
Publié: (2026)

Remote Sensing Retrieval-Augmented Generation: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model
par: Wen, Congcong, et autres
Publié: (2025)

Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
par: Manzini, Thomas, et autres
Publié: (2025)

Rethinking Token Reduction for Large Vision-Language Models
par: Wang, Yi, et autres
Publié: (2026)

Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning
par: Yun, Heesup, et autres
Publié: (2026)

NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
par: Rawal, Ishaan, et autres
Publié: (2026)

Seeing Symbols, Missing Cultures: Probing Vision-Language Models' Reasoning on Fire Imagery and Cultural Meaning
par: Yu, Haorui, et autres
Publié: (2025)