| Lightweight, Pre-trained Transformers for Remote Sensing Timeseries | Apr 27, 2023 | Crop ClassificationSelf-Supervised Learning | CodeCode Available | 2 | 5 |
| The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation | Jan 6, 2023 | BenchmarkingCrop Classification | CodeCode Available | 1 | 5 |
| A Comparative Assessment of Multi-view fusion learning for Crop Classification | Aug 10, 2023 | Crop ClassificationMULTI-VIEW LEARNING | CodeCode Available | 1 | 5 |
| Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding | Mar 17, 2022 | Crop ClassificationTime Series | CodeCode Available | 1 | 5 |
| SITSMamba for Crop Classification based on Satellite Image Time Series | Sep 15, 2024 | ClassificationCrop Classification | CodeCode Available | 1 | 5 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 | 5 |
| Crop mapping from image time series: deep learning with multi-scale label hierarchies | Feb 17, 2021 | Crop ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations | Dec 4, 2020 | Crop ClassificationEarth Observation | CodeCode Available | 1 | 5 |
| A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning | Apr 2, 2022 | Crop ClassificationSemantic Segmentation | CodeCode Available | 1 | 5 |
| TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation | Nov 4, 2021 | Crop ClassificationDomain Adaptation | CodeCode Available | 1 | 5 |
