Sensor-Adaptive Flood Mapping with Pre-trained Multi-Modal Transformers across SAR and Multispectral Modalities
Fuente:
arXiv
Saved in:
| Main Authors: | Tanaka, Tomohiro, Tsutsumida, Narumasa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
by: Wang, Xiao, et al.
Published: (2023)
by: Wang, Xiao, et al.
Published: (2023)
MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic Report
by: Thapa, Samrajya, et al.
Published: (2024)
by: Thapa, Samrajya, et al.
Published: (2024)
Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping
by: Talreja, Jagrati, et al.
Published: (2026)
by: Talreja, Jagrati, et al.
Published: (2026)
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
by: Oh, Youngtaek, et al.
Published: (2024)
by: Oh, Youngtaek, et al.
Published: (2024)
3D Modality-Aware Pre-training for Vision-Language Model in MRI Multi-organ Abnormality Detection
by: Zhu, Haowen, et al.
Published: (2026)
by: Zhu, Haowen, et al.
Published: (2026)
FRED: A Multi-Modal Autonomous Driving Dataset for Flooded Road Environments
by: Malone, Connor, et al.
Published: (2026)
by: Malone, Connor, et al.
Published: (2026)
Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection
by: Ulku, Irem, et al.
Published: (2026)
by: Ulku, Irem, et al.
Published: (2026)
impuTMAE: Multi-modal Transformer with Masked Pre-training for Missing Modalities Imputation in Cancer Survival Prediction
by: Boyko, Maria, et al.
Published: (2025)
by: Boyko, Maria, et al.
Published: (2025)
Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
by: Dai, Shenghong, et al.
Published: (2024)
by: Dai, Shenghong, et al.
Published: (2024)
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models
by: Hu, Yuanwei, et al.
Published: (2026)
by: Hu, Yuanwei, et al.
Published: (2026)
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities
by: Robinet, Lucas, et al.
Published: (2025)
by: Robinet, Lucas, et al.
Published: (2025)
DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion
by: Guo, Yuchen, et al.
Published: (2024)
by: Guo, Yuchen, et al.
Published: (2024)
MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
by: Chen, Haonan, et al.
Published: (2025)
by: Chen, Haonan, et al.
Published: (2025)
FLoRA: Fusion-Latent for Optical Reconstruction and Flood Area Segmentation via Cross-Modal Multi-Task Distillation Network
by: Talreja, Jagrati, et al.
Published: (2026)
by: Talreja, Jagrati, et al.
Published: (2026)
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
by: Kim, Sanghwan, et al.
Published: (2024)
by: Kim, Sanghwan, et al.
Published: (2024)
Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models
by: Ding, Renhua, et al.
Published: (2024)
by: Ding, Renhua, et al.
Published: (2024)
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
by: Cao, Guiming, et al.
Published: (2024)
by: Cao, Guiming, et al.
Published: (2024)
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data
by: Zhang, Ziyang, et al.
Published: (2024)
by: Zhang, Ziyang, et al.
Published: (2024)
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations
by: Kim, Jeonghyeon, et al.
Published: (2025)
by: Kim, Jeonghyeon, et al.
Published: (2025)
Generative Pre-trained Autoregressive Diffusion Transformer
by: Zhang, Yuan, et al.
Published: (2025)
by: Zhang, Yuan, et al.
Published: (2025)
MMPB: It's Time for Multi-Modal Personalization
by: Kim, Jaeik, et al.
Published: (2025)
by: Kim, Jaeik, et al.
Published: (2025)
MGHFT: Multi-Granularity Hierarchical Fusion Transformer for Cross-Modal Sticker Emotion Recognition
by: Chen, Jian, et al.
Published: (2025)
by: Chen, Jian, et al.
Published: (2025)
Towards Explainable AI: Multi-Modal Transformer for Video-based Image Description Generation
by: Agarwal, Lakshita, et al.
Published: (2025)
by: Agarwal, Lakshita, et al.
Published: (2025)
DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET
by: Li, Yitong, et al.
Published: (2024)
by: Li, Yitong, et al.
Published: (2024)
SigFormer: Sparse Signal-Guided Transformer for Multi-Modal Human Action Segmentation
by: Liu, Qi, et al.
Published: (2023)
by: Liu, Qi, et al.
Published: (2023)
Visual Object Tracking across Diverse Data Modalities: A Review
by: Wang, Mengmeng, et al.
Published: (2024)
by: Wang, Mengmeng, et al.
Published: (2024)
Architecture-Agnostic Modality-Isolated Gated Fusion for Robust Multi-Modal Prostate MRI Segmentation
by: Shu, Yongbo, et al.
Published: (2026)
by: Shu, Yongbo, et al.
Published: (2026)
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems using Disparity Maps
by: Larey, Ariel, et al.
Published: (2024)
by: Larey, Ariel, et al.
Published: (2024)
Towards Robust Optical-SAR Object Detection under Missing Modalities: A Dynamic Quality-Aware Fusion Framework
by: Zhao, Zhicheng, et al.
Published: (2025)
by: Zhao, Zhicheng, et al.
Published: (2025)
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
by: Dong, Wei, et al.
Published: (2024)
by: Dong, Wei, et al.
Published: (2024)
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
by: Tseng, Gabriel, et al.
Published: (2023)
by: Tseng, Gabriel, et al.
Published: (2023)
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
by: Jung, Hoin, et al.
Published: (2024)
by: Jung, Hoin, et al.
Published: (2024)
Multi-Modal interpretable automatic video captioning
by: Hanna-Asaad, Antoine, et al.
Published: (2024)
by: Hanna-Asaad, Antoine, et al.
Published: (2024)
Learning Progressive Adaptation for Multi-Modal Tracking
by: Wang, He, et al.
Published: (2026)
by: Wang, He, et al.
Published: (2026)
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
by: Zhong, Yiwu, et al.
Published: (2024)
by: Zhong, Yiwu, et al.
Published: (2024)
PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images
by: Chen, Zifan, et al.
Published: (2024)
by: Chen, Zifan, et al.
Published: (2024)
PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
by: Nshimyimana, Dominique, et al.
Published: (2025)
by: Nshimyimana, Dominique, et al.
Published: (2025)
Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
by: Yin, Zixin, et al.
Published: (2025)
by: Yin, Zixin, et al.
Published: (2025)
Similar Items
-
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
by: Wang, Xiao, et al.
Published: (2023) -
MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic Report
by: Thapa, Samrajya, et al.
Published: (2024) -
Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping
by: Talreja, Jagrati, et al.
Published: (2026) -
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
by: Oh, Youngtaek, et al.
Published: (2024) -
3D Modality-Aware Pre-training for Vision-Language Model in MRI Multi-organ Abnormality Detection
by: Zhu, Haowen, et al.
Published: (2026)