Cover Image

REOBench: Benchmarking Robustness of Earth Observation Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xiang, Tao, Yong, Zhang, Siyuan, Liu, Siwei, Xiong, Zhitong, Luo, Chunbo, Liu, Lu, Pechenizkiy, Mykola, Zhu, Xiao Xiang, Huang, Tianjin
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

EarthNets: Empowering AI in Earth Observation
by: Xiong, Zhitong, et al.
Published: (2022)

One for All: Toward Unified Foundation Models for Earth Vision
by: Xiong, Zhitong, et al.
Published: (2024)

ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models
by: Yuan, Zhenghang, et al.
Published: (2024)

DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
by: Xiong, Zhitong, et al.
Published: (2025)

Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation
by: Xiong, Zhitong, et al.
Published: (2024)

TerraScope: Pixel-Grounded Visual Reasoning for Earth Observation
by: Shu, Yan, et al.
Published: (2026)

MedFM-Robust: Benchmarking Robustness of Medical Foundation Models
by: Cui, Xiangxiang, et al.
Published: (2026)

Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
by: Zhao, Shan, et al.
Published: (2024)

Hierarchical Semi-Supervised Active Learning for Remote Sensing
by: Huang, Wei, et al.
Published: (2025)

UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping
by: Zhao, Jie, et al.
Published: (2024)

Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
by: Jin, Can, et al.
Published: (2023)

Are Sparse Neural Networks Better Hard Sample Learners?
by: Xiao, Qiao, et al.
Published: (2024)

EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data
by: Lehmann, Nils, et al.
Published: (2026)

(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork
by: Huang, Tianjin, et al.
Published: (2024)

Towards a Unified Copernicus Foundation Model for Earth Vision
by: Wang, Yi, et al.
Published: (2025)

Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology
by: Wang, Luting, et al.
Published: (2025)

Towards Unified Vision Language Models for Forest Ecological Analysis in Earth Observation
by: Xue, Xizhe, et al.
Published: (2025)

Foundation Models for Remote Sensing and Earth Observation: A Survey
by: Xiao, Aoran, et al.
Published: (2024)

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
by: Tomilin, Tristan, et al.
Published: (2025)

Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining
by: Wang, Yi, et al.
Published: (2024)

LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping
by: Liu, Chenying, et al.
Published: (2025)

PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Clouds
by: Chen, Zhaiyu, et al.
Published: (2023)

ExEBench: Benchmarking Foundation Models on Extreme Earth Events
by: Zhao, Shan, et al.
Published: (2025)

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
by: Zhang, Tianyuan, et al.
Published: (2024)

Beyond Segmentation: An Oil Spill Change Detection Framework Using Synthetic SAR Imagery
by: Lai, Chenyang, et al.
Published: (2026)

EarthMind: Leveraging Cross-Sensor Data for Advanced Earth Observation Interpretation with a Unified Multimodal LLM
by: Shu, Yan, et al.
Published: (2025)

Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI
by: Dionelis, Nikolaos, et al.
Published: (2024)

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
by: Wang, Yi, et al.
Published: (2023)

SpectralEarth-FM: Bringing Hyperspectral Imagery into Multimodal Earth Observation Pretraining
by: Braham, Nassim Ait Ali, et al.
Published: (2026)

REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation
by: Xue, Xizhe, et al.
Published: (2024)

On the Generalization of Representation Uncertainty in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)

SpectralEarth: Training Hyperspectral Foundation Models at Scale
by: Braham, Nassim Ait Ali, et al.
Published: (2024)

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
by: Wu, Boqian, et al.
Published: (2023)

CrossVL: Complexity-Aware Feature Routing and Paired Curriculum for Cross-View Vision-Language Detection
by: Liu, Zhipeng, et al.
Published: (2026)

Robust Multimodal Learning via Representation Decoupling
by: Wei, Shicai, et al.
Published: (2024)

Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
by: Wu, Boqian, et al.
Published: (2024)

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation
by: Min, Rui, et al.
Published: (2026)

EarthSynth: Generating Informative Earth Observation with Diffusion Models
by: Pan, Jiancheng, et al.
Published: (2025)

PDMP: Rethinking Balanced Multimodal Learning via Performance-Dominant Modality Prioritization
by: Wei, Shicai, et al.
Published: (2026)

Benchmarking Composed Image Retrieval for Applied Earth Observation
by: Psomas, Bill, et al.
Published: (2026)