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Found 4 papers, 1 papers with code
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection
Model-agnostic explanation methods for deep learning models are flexible regarding usability and availability.
SugarViT -- Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet
One novelty in this work is the combination of remote sensing data with environmental parameters of the experimental sites for disease severity prediction.
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning
The concept of Label Distribution Learning (LDL) is a technique to stabilize classification and regression problems with ambiguous and/or imbalanced labels.
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
Our workflow is able to automatize plant cataloging and training image extraction, especially for large datasets.
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