Abstract
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Joana Reuss, Ekaterina Gikalo, Marco Körner
Abstract
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Optuna: A next-generation hyperparameter optimization framework
2019
Transfer learning models for land cover and land use classification in remote sensing image
10.1080/08839514.2021.2014192 · 2022
Controlling the false discovery rate: A practical and powerful approach to multiple testing
10.1111/j.2517-6161.1995.tb02031.x · 1995
Unresolved referenced work
Kept as external metadata until matched
On a measure of divergence between two multinomial populations
1946
The origins of the Gini index: Extracts from variabilità e Mutabilità (1912) by Corrado Gini
10.1007/s10888-011-9188-x · 2011
A Bayesian model for supervised clustering with the Dirichlet process prior
2005
Copernicus sentinel-2 collection-1: A consistent dataset of multi-spectral imagery with enhanced quality
2023
Unresolved referenced work
2016
Unresolved referenced work
2021
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
Model-agnostic meta-learning for fast adaptation of deep networks
2017
Few shot crop mapping using transformers and transfer learning with sentinel-2 time series: Case of Kairouan Tunisia
10.5194/isprs-archives-xliii-b3-2022-899-2022 · 2022
Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions
10.1016/j.rse.2021.112488 · 2021
Approach of transfer learning in remote sensing image classification
2024
Focal loss for dense object detection
10.1109/tpami.2018.2858826 · 2020
Detecting and correcting for label shift with black box predictors
2018
Unresolved referenced work
2022
Few-shot learning for crop mapping from satellite image time series
10.3390/rs16061026 · 2024
Few-shot learning with class imbalance
10.1109/tai.2023.3298303 · 2023
PyTorch: An imperative style, high-performance deep learning library
2019
Bayesian learning for regression using Dirichlet prior distributions of varying localization
2021
Mind the gap: Bridging prior shift in realistic few-shot crop-type classification
2026
Benchmarking for practice: Few-shot time-series crop-type classification on the EuroCropsML dataset
2026
The EuroCropsML time series benchmark dataset for few-shot crop type classification in Europe
10.1038/s41597-025-04952-7 · 2025
Improving remote sensing classification with transfer learning: Exploring the impact of heterogenous transfer learning
2023
Self-attention for raw optical satellite time series classification
10.1016/j.isprsjprs.2020.06.006 · 2020
Meta-learning for few-shot land cover classification
2020
Crop classification on single date sentinel-2 imagery using random forest and support vector machine
10.5194/isprs-archives-xlii-5-683-2018 · 2018
Satellite image time series classification with pixel-set encoders and temporal self-attention
2020
EuroCrops: a pan-european dataset for time series crop type classification
2021
EuroCrops: The largest harmonized open crop dataset across the European union
10.1038/s41597-023-02517-0 · 2023
The Hitchhiker’s guide to prior-shift adaptation
2022
The proof and measurement of association between two things
10.2307/1412159 · 1904
Lightweight, pre-trained transformers for remote sensing timeseries
2023
Unresolved referenced work
2022
Attention is all you need
2017
Realistic evaluation of transductive few-shot learning
2021
Meta-learning for few-shot time series classification
2020
Deep transfer learning for crop yield prediction with remote sensing data
2018
The proof and measurement of association between two things
10.2307/1412159 · doi-reference
EuroCrops: The largest harmonized open crop dataset across the European union
10.1038/s41597-023-02517-0 · doi-reference
Crop classification on single date sentinel-2 imagery using random forest and support vector machine
10.5194/isprs-archives-xlii-5-683-2018 · doi-reference
Self-attention for raw optical satellite time series classification
10.1016/j.isprsjprs.2020.06.006 · doi-reference
The EuroCropsML time series benchmark dataset for few-shot crop type classification in Europe
10.1038/s41597-025-04952-7 · doi-reference
Few-shot learning with class imbalance
10.1109/tai.2023.3298303 · doi-reference
Few-shot learning for crop mapping from satellite image time series
10.3390/rs16061026 · doi-reference
Focal loss for dense object detection
10.1109/tpami.2018.2858826 · doi-reference
Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions
10.1016/j.rse.2021.112488 · doi-reference
Few shot crop mapping using transformers and transfer learning with sentinel-2 time series: Case of Kairouan Tunisia
10.5194/isprs-archives-xliii-b3-2022-899-2022 · doi-reference
The origins of the Gini index: Extracts from variabilità e Mutabilità (1912) by Corrado Gini
10.1007/s10888-011-9188-x · doi-reference
Controlling the false discovery rate: A practical and powerful approach to multiple testing
10.1111/j.2517-6161.1995.tb02031.x · doi-reference
Transfer learning models for land cover and land use classification in remote sensing image
10.1080/08839514.2021.2014192 · doi-reference