SOTAVerified

Crop Classification

Papers

Showing 125 of 48 papers

TitleStatusHype
Lightweight, Pre-trained Transformers for Remote Sensing TimeseriesCode2
SITSMamba for Crop Classification based on Satellite Image Time SeriesCode1
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed ManipulationCode1
Crop mapping from image time series: deep learning with multi-scale label hierarchiesCode1
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift EstimationCode1
Generalized Classification of Satellite Image Time Series with Thermal Positional EncodingCode1
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learningCode1
Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time SeriesCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
A Comparative Assessment of Multi-view fusion learning for Crop ClassificationCode1
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
End-to-End Learned Early Classification of Time Series for In-Season Crop Type MappingCode0
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing DataCode0
Activation Regression for Continuous Domain Generalization with Applications to Crop ClassificationCode0
Low-Resource Crop Classification from Multi-Spectral Time Series Using Lossless CompressorsCode0
On the Generalizability of Foundation Models for Crop Type MappingCode0
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic SegmentationCode0
Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attentionCode0
Increasing the Robustness of Model Predictions to Missing Sensors in Earth ObservationCode0
Crop identification using deep learning on LUCAS crop cover photosCode0
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological SlidesCode0
Temporal Sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series0
Time Gated Convolutional Neural Networks for Crop Classification0
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series0
Towards more efficient agricultural practices via transformer-based crop type classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PrestoR - no DWTarget Binary F10.86Unverified
2Feature-level fusion (sum)Target Binary F10.79Unverified
3Gated Fusion (Feature-level)Target Binary F10.77Unverified
4Radar TS with TempCNNAverage Accuracy0.68Unverified
5Input Fusion with TAEAverage Accuracy0.67Unverified
#ModelMetricClaimedVerifiedStatus
1Ensemble aggregation with GRUAverage Accuracy0.84Unverified
2Ensemble aggregationAverage Accuracy0.84Unverified
3Decision fusion with GRUAverage Accuracy0.83Unverified
4PrestoRTarget Binary F10.8Unverified
#ModelMetricClaimedVerifiedStatus
1Feature fusion with LSTMAverage Accuracy0.98Unverified
2Hybrid fusion with LSTMAverage Accuracy0.97Unverified
3PrestoRTarget Binary F10.89Unverified
#ModelMetricClaimedVerifiedStatus
1Feature Gated FusionAverage Accuracy0.85Unverified
2Input FusionAverage Accuracy0.85Unverified
3Ensemble strategyAverage Accuracy0.83Unverified
#ModelMetricClaimedVerifiedStatus
1Input FusionAverage Accuracy0.74Unverified
2Feature Gated FusionAverage Accuracy0.73Unverified
3Ensemble strategyAverage Accuracy0.72Unverified