EuroSAT

Overview edit

Variants: EuroSAT

Associated Benchmarks

This dataset is used in 7 benchmarks:

• Few-Shot Learning - Metrics: Harmonic mean
• Zero-Shot Learning - Metrics: Accuracy
• Image Clustering - Metrics: Accuracy
• Image Classification - Metrics: Accuracy (%)
• Cross-Domain Few-Shot - Metrics: 5 shot
• Classification - Metrics: Accuracy
• Prompt Engineering - Metrics: Harmonic mean

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models (2025) -
• MMRL: Multi-Modal Representation Learning for Vision-Language Models (2025) -
• HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling (2024) -
• Let Go of Your Labels with Unsupervised Transfer (2024) -
• Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision (2024) -
• Label Propagation for Zero-shot Classification with Vision-Language Models (2024) -
• Prompt Learning via Meta-Regularization (2024) -
• MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining (2024) -
• PromptKD: Unsupervised Prompt Distillation for Vision-Language Models (2024) -
• Improving Cross-domain Few-shot Classification with Multilayer Perceptron (2023) -
• Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (2023) -
• DePT: Decoupled Prompt Tuning (2023) -
• Read-only Prompt Optimization for Vision-Language Few-shot Learning (2023) -
• Self-regulating Prompts: Foundational Model Adaptation without Forgetting (2023) -
• Consistency-guided Prompt Learning for Vision-Language Models (2023) -
• Extending global-local view alignment for self-supervised learning with remote sensing imagery (2023) -
• StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning (2023) -
• Learning Domain Invariant Prompt for Vision-Language Models (2022) -
• MaPLe: Multi-modal Prompt Learning (2022) -
• Bayesian Prompt Learning for Image-Language Model Generalization (2022) -