Cover Image

Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karimi, Ehsan, Le, Nhut, Rahnemoonfar, Maryam
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
by: Zarbaft, Armin, et al.
Published: (2026)

3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)

ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment
by: Karimi, Ehsan, et al.
Published: (2025)

3D Semantic Segmentation for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)

OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation
by: Le, Nhut, et al.
Published: (2026)

Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models
by: Le, Nhut, et al.
Published: (2026)

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
by: Zhu, Kevin, et al.
Published: (2026)

RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment
by: Rahnemoonfar, Maryam, et al.
Published: (2022)

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2024)

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data
by: Liu, Zesheng, et al.
Published: (2026)

GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
by: Liu, Zesheng, et al.
Published: (2024)

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
by: Rashid, Hasib-Al, et al.
Published: (2024)

DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage Categorization
by: Xiao, Yiming, et al.
Published: (2025)

Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity
by: Koo, Younghyun, et al.
Published: (2023)

Improved MambdaBDA Framework for Robust Building Damage Assessment Across Disaster Domains
by: Gençoğlu, Alp Eren, et al.
Published: (2026)

DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes
by: Al-Mohannadi, Aisha, et al.
Published: (2026)

Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model
by: Ahn, Kyeongjin, et al.
Published: (2024)

Thinking with Images as Continuous Actions: Numerical Visual Chain-of-Thought
by: Zhao, Kesen, et al.
Published: (2026)

Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
by: Liu, Xu, et al.
Published: (2026)

CoTBox-TTT: Grounding Medical VQA with Visual Chain-of-Thought Boxes During Test-time Training
by: Qian, Jiahe, et al.
Published: (2025)

DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
by: Wang, Junjue, et al.
Published: (2025)

ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning
by: Gu, Jiawei, et al.
Published: (2025)

GEMeX-RMCoT: An Enhanced Med-VQA Dataset for Region-Aware Multimodal Chain-of-Thought Reasoning
by: Liu, Bo, et al.
Published: (2025)

FreeFly-Thinking : Aligning Chain-of-Thought Reasoning with Continuous UAV Navigation
by: Zhou, Jiaxu, et al.
Published: (2026)

Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery
by: Manzini, Thomas, et al.
Published: (2025)

Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts
by: Kao, Shiu-hong, et al.
Published: (2025)

Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models
by: Zhang, Jialiang, et al.
Published: (2026)

Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
by: Manzini, Thomas, et al.
Published: (2025)

Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
by: Hewawiththi, Nethmi S., et al.
Published: (2024)

Explainable Action Form Assessment by Exploiting Multimodal Chain-of-Thoughts Reasoning
by: Qi, Mengshi, et al.
Published: (2025)

SDIGLM: Leveraging Large Language Models and Multi-Modal Chain of Thought for Structural Damage Identification
by: Zhang, Yunkai, et al.
Published: (2025)

AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring
by: Ibikunle, Oluwanisola, et al.
Published: (2025)

rPPG-VQA: A Video Quality Assessment Framework for Unsupervised rPPG Training
by: Dai, Tianyang, et al.
Published: (2026)

AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving
by: Qian, Kangan, et al.
Published: (2025)

A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery
by: Manzini, Thomas, et al.
Published: (2025)

When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought
by: Zhou, Yiyang, et al.
Published: (2025)

DisasterInsight: A Multimodal Benchmark for Function-Aware and Grounded Disaster Assessment
by: Tehrani, Sara, et al.
Published: (2026)

CoRGI: Verified Chain-of-Thought Reasoning with Post-hoc Visual Grounding
by: Yi, Shixin, et al.
Published: (2025)