arXiv:2112.08184
공식 코드 · Papers with Code
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation
원문 초록
Interpretability has attracted increasing attention in earth observation problems. We apply interactive visualization and representation analysis to guide interpretation of glacier segmentation models. We visualize the activations from a U-Net to understand and evaluate the model performance. We build an online interface using the Shiny R package to provide comprehensive error analysis of the predictions. Users can interact with the panels and discover model failure modes. Further, we discuss how visualization can provide sanity checks during data preprocessing and model training.
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High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data
Video Compression for Spatiotemporal Earth System Data
Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset
FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution
RemoteSAM: Towards Segment Anything for Earth Observation
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