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Found 5 papers, 2 papers with code
MAGIC: Modular Auto-encoder for Generalisable Model Inversion with Bias Corrections
Scientists often model physical processes to understand the natural world and uncover the causation behind observations.
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model
Advances in machine learning have boosted the use of Earth observation data for climate change research.
Fast Hierarchical Learning for Few-Shot Object Detection
These approaches however suffer from ``catastrophic forgetting'' issue due to finetuning of base detector, leading to sub-optimal performance on the base classes.
Segmentation of Roads in Satellite Images using specially modified U-Net CNNs
The image classification problem has been deeply investigated by the research community, with computer vision algorithms and with the help of Neural Networks.
Digital Taxonomist: Identifying Plant Species in Community Scientists' Photographs
Automatic identification of plant specimens from amateur photographs could improve species range maps, thus supporting ecosystems research as well as conservation efforts.
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