Saved in:
| Main Authors: | Barreiro, Víctor, Jakubik, Johannes, Argüello, Francisco, Heras, Dora B. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.19873 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation
by: Puriy, Nazar, et al.
Published: (2026)
by: Puriy, Nazar, et al.
Published: (2026)
Quantizing Space and Time: Fusing Time Series and Images for Earth Observation
by: Basile, Gianfranco, et al.
Published: (2025)
by: Basile, Gianfranco, et al.
Published: (2025)
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation
by: Marimo, Clive Tinashe, et al.
Published: (2025)
by: Marimo, Clive Tinashe, et al.
Published: (2025)
SIMPLER: H&E-Informed Representation Learning for Structured Illumination Microscopy
by: Aziz, Abu Zahid Bin, et al.
Published: (2026)
by: Aziz, Abu Zahid Bin, et al.
Published: (2026)
Spectral Gaps and Spatial Priors: Studying Hyperspectral Downstream Adaptation Using TerraMind
by: Leonardi, Julia Anna, et al.
Published: (2026)
by: Leonardi, Julia Anna, et al.
Published: (2026)
TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data
by: Blumenstiel, Benedikt, et al.
Published: (2025)
by: Blumenstiel, Benedikt, et al.
Published: (2025)
INTERLACE: Interleaved Layer Pruning and Efficient Adaptation in Large Vision-Language Models
by: Madinei, Parsa, et al.
Published: (2025)
by: Madinei, Parsa, et al.
Published: (2025)
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
by: Han, Ruizi, et al.
Published: (2024)
by: Han, Ruizi, et al.
Published: (2024)
Rapid Adaptation of Earth Observation Foundation Models for Segmentation
by: Selvam, Karthick Panner, et al.
Published: (2024)
by: Selvam, Karthick Panner, et al.
Published: (2024)
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models
by: Li, Yuqi, et al.
Published: (2024)
by: Li, Yuqi, et al.
Published: (2024)
REOBench: Benchmarking Robustness of Earth Observation Foundation Models
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Foundation Models for Remote Sensing and Earth Observation: A Survey
by: Xiao, Aoran, et al.
Published: (2024)
by: Xiao, Aoran, et al.
Published: (2024)
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation
by: Xiong, Zhitong, et al.
Published: (2024)
by: Xiong, Zhitong, et al.
Published: (2024)
Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition
by: Chuc, Man Duc
Published: (2025)
by: Chuc, Man Duc
Published: (2025)
TerraMind: Large-Scale Generative Multimodality for Earth Observation
by: Jakubik, Johannes, et al.
Published: (2025)
by: Jakubik, Johannes, et al.
Published: (2025)
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning
by: Lv, Qingsong, et al.
Published: (2024)
by: Lv, Qingsong, et al.
Published: (2024)
DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
by: Xiong, Zhitong, et al.
Published: (2025)
by: Xiong, Zhitong, et al.
Published: (2025)
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining
by: Wang, Yi, et al.
Published: (2024)
by: Wang, Yi, et al.
Published: (2024)
TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
by: Danish, Muhammad Sohail, et al.
Published: (2025)
by: Danish, Muhammad Sohail, et al.
Published: (2025)
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI
by: Dionelis, Nikolaos, et al.
Published: (2024)
by: Dionelis, Nikolaos, et al.
Published: (2024)
RS-Prune: Training-Free Data Pruning at High Ratios for Efficient Remote Sensing Diffusion Foundation Models
by: Wei, Fan, et al.
Published: (2025)
by: Wei, Fan, et al.
Published: (2025)
Similarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking
by: Xue, Chaocan, et al.
Published: (2025)
by: Xue, Chaocan, et al.
Published: (2025)
How to Embed Matters: Evaluation of EO Embedding Design Choices
by: Gilch, Luis, et al.
Published: (2026)
by: Gilch, Luis, et al.
Published: (2026)
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning
by: Wang, Kunyu, et al.
Published: (2025)
by: Wang, Kunyu, et al.
Published: (2025)
RepSAM: Bridging Foundation Models to Robotic Vision via Representation-Guided Adaptation
by: Chu, Wenhui
Published: (2026)
by: Chu, Wenhui
Published: (2026)
Exploiting In-Sensor Computing for Energy-Efficient Earth Observation
by: Capogrosso, Luigi, et al.
Published: (2026)
by: Capogrosso, Luigi, et al.
Published: (2026)
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
by: Szwarcman, Daniela, et al.
Published: (2024)
by: Szwarcman, Daniela, et al.
Published: (2024)
FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation
by: Bellier, Georges Le, et al.
Published: (2025)
by: Bellier, Georges Le, et al.
Published: (2025)
SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation
by: Gonzalez-Calabuig, Maria, et al.
Published: (2025)
by: Gonzalez-Calabuig, Maria, et al.
Published: (2025)
Similarity-Aware Token Pruning: Your VLM but Faster
by: Jeddi, Ahmadreza, et al.
Published: (2025)
by: Jeddi, Ahmadreza, et al.
Published: (2025)
Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
by: Wei, Zhixiang, et al.
Published: (2025)
by: Wei, Zhixiang, et al.
Published: (2025)
Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection
by: Thoreau, Romain, et al.
Published: (2025)
by: Thoreau, Romain, et al.
Published: (2025)
Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models
by: Ma, Kexin, et al.
Published: (2026)
by: Ma, Kexin, et al.
Published: (2026)
EarthNets: Empowering AI in Earth Observation
by: Xiong, Zhitong, et al.
Published: (2022)
by: Xiong, Zhitong, et al.
Published: (2022)
Uncertainty and Generalizability in Foundation Models for Earth Observation
by: Ramos-Pollan, Raul, et al.
Published: (2024)
by: Ramos-Pollan, Raul, et al.
Published: (2024)
CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation
by: Cao, Shilei, et al.
Published: (2025)
by: Cao, Shilei, et al.
Published: (2025)
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
by: Guo, Xin, et al.
Published: (2023)
by: Guo, Xin, et al.
Published: (2023)
Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science
by: Lingsch, Levi, et al.
Published: (2026)
by: Lingsch, Levi, et al.
Published: (2026)
Spectral Rectification for Parameter-Efficient Adaptation of Foundation Models in Colonoscopy Depth Estimation
by: Zhang, Xiaoxian, et al.
Published: (2026)
by: Zhang, Xiaoxian, et al.
Published: (2026)
DARN: Dynamic Adaptive Regularization Networks for Efficient and Robust Foundation Model Adaptation
by: Yadav, Dhenenjay, et al.
Published: (2025)
by: Yadav, Dhenenjay, et al.
Published: (2025)
Similar Items
-
TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation
by: Puriy, Nazar, et al.
Published: (2026) -
Quantizing Space and Time: Fusing Time Series and Images for Earth Observation
by: Basile, Gianfranco, et al.
Published: (2025) -
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation
by: Marimo, Clive Tinashe, et al.
Published: (2025) -
SIMPLER: H&E-Informed Representation Learning for Structured Illumination Microscopy
by: Aziz, Abu Zahid Bin, et al.
Published: (2026) -
Spectral Gaps and Spatial Priors: Studying Hyperspectral Downstream Adaptation Using TerraMind
by: Leonardi, Julia Anna, et al.
Published: (2026)