DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Kevin, Tang, William, Tene, Raphael Hay, Liu, Zesheng, Le, Nhut, Rahnemoonfar, Maryam |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
3D Semantic Segmentation for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)
by: Le, Nhut, et al.
Published: (2025)
Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
by: Zarbaft, Armin, et al.
Published: (2026)
by: Zarbaft, Armin, et al.
Published: (2026)
Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment
by: Karimi, Ehsan, et al.
Published: (2025)
by: Karimi, Ehsan, et al.
Published: (2025)
3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)
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)
by: Le, Nhut, 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)
by: Rahnemoonfar, Maryam, et al.
Published: (2022)
Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models
by: Le, Nhut, et al.
Published: (2026)
by: Le, Nhut, et al.
Published: (2026)
Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer
by: Spasev, Vlatko, et al.
Published: (2024)
by: Spasev, Vlatko, et al.
Published: (2024)
ACS-SegNet: An Attention-Based CNN-SegFormer Segmentation Network for Tissue Segmentation in Histopathology
by: Torbati, Nima, et al.
Published: (2025)
by: Torbati, Nima, et al.
Published: (2025)
Window to Wall Ratio Detection using SegFormer
by: De Simone, Zoe, et al.
Published: (2024)
by: De Simone, Zoe, et al.
Published: (2024)
Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2024)
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)
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)
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)
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)
by: Liu, Zesheng, 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)
by: Karimi, Ehsan, et al.
Published: (2025)
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
by: Perera, Shehan, et al.
Published: (2024)
by: Perera, Shehan, et al.
Published: (2024)
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
by: Dosi, Andrea, et al.
Published: (2024)
by: Dosi, Andrea, et al.
Published: (2024)
SegFormer Fine-Tuning with Dropout: Advancing Hair Artifact Removal in Skin Lesion Analysis
by: Saad, Asif Mohammed, et al.
Published: (2025)
by: Saad, Asif Mohammed, et al.
Published: (2025)
Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance
by: Rawat, Dhruvraj Singh, et al.
Published: (2025)
by: Rawat, Dhruvraj Singh, et al.
Published: (2025)
Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation
by: Ahmed, Fatimaelzahraa, et al.
Published: (2025)
by: Ahmed, Fatimaelzahraa, et al.
Published: (2025)
DSCformer: A Dual-Branch Network Integrating Enhanced Dynamic Snake Convolution and SegFormer for Crack Segmentation
by: Yu, Kaiwei, et al.
Published: (2024)
by: Yu, Kaiwei, et al.
Published: (2024)
GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)
by: Liu, Zesheng, et al.
Published: (2025)
Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces
by: Liu, Zesheng, et al.
Published: (2026)
by: Liu, Zesheng, et al.
Published: (2026)
MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head
by: Wang, Fangyijie, et al.
Published: (2024)
by: Wang, Fangyijie, et al.
Published: (2024)
MacFormer: Semantic Segmentation with Fine Object Boundaries
by: Xu, Guoan, et al.
Published: (2024)
by: Xu, Guoan, et al.
Published: (2024)
Improved Brain Tumor Segmentation With SegFormer : A Transformer‐Based Architecture for Cross‐Dataset Generalization
by: Alaa Altheneyan, et al.
Published: (2025)
by: Alaa Altheneyan, et al.
Published: (2025)
PACT: Peak-Aware Cross-Attention Graph Transformers for Efficient Storm-Surge Emulation
by: Liu, Zesheng, et al.
Published: (2026)
by: Liu, Zesheng, et al.
Published: (2026)
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation
by: Kang, Beoungwoo, et al.
Published: (2024)
by: Kang, Beoungwoo, et al.
Published: (2024)
Landslide Identification From Sentinel‐ 2A Imagery Based on the SegFormer Model
by: Hongyue Yin, et al.
Published: (2026)
by: Hongyue Yin, et al.
Published: (2026)
Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity
by: Koo, Younghyun, et al.
Published: (2023)
by: Koo, Younghyun, et al.
Published: (2023)
KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator
by: Liu, Zesheng, et al.
Published: (2025)
by: Liu, Zesheng, et al.
Published: (2025)
Physics-Informed Machine Learning On Polar Ice: A Survey
by: Liu, Zesheng, et al.
Published: (2024)
by: Liu, Zesheng, et al.
Published: (2024)
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
by: Jiang, Shenwang, et al.
Published: (2024)
by: Jiang, Shenwang, et al.
Published: (2024)
Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation
by: Chen, Zhiquan, et al.
Published: (2026)
by: Chen, Zhiquan, et al.
Published: (2026)
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
by: Hewawiththi, Nethmi S., et al.
Published: (2024)
by: Hewawiththi, Nethmi S., et al.
Published: (2024)
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization
by: Xu, Qin, et al.
Published: (2024)
by: Xu, Qin, et al.
Published: (2024)
RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
by: Du, Anghong, et al.
Published: (2025)
by: Du, Anghong, et al.
Published: (2025)
FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
by: Zhang, Zekang, et al.
Published: (2026)
by: Zhang, Zekang, et al.
Published: (2026)
MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention
by: Chen, Zhi, et al.
Published: (2026)
by: Chen, Zhi, et al.
Published: (2026)
Similar Items
-
3D Semantic Segmentation for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025) -
Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
by: Zarbaft, Armin, et al.
Published: (2026) -
Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment
by: Karimi, Ehsan, et al.
Published: (2025) -
3DAeroRelief: The first 3D Benchmark UAV Dataset 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)