Interactive Visualization and Representation Analysis Applied to Glacier Segmentation
Minxing Zheng (1), Xinran Miao (1), Kris Sankaran (1) ((1) Department, of Statistics, University of Wisconsin - Madison)
TL;DR
This paper introduces an interactive visualization approach using U-Net activations and an online interface to interpret, evaluate, and improve glacier segmentation models in earth observation, enhancing model transparency and error analysis.
Contribution
It presents a novel interactive visualization framework and an online tool for interpreting and diagnosing glacier segmentation models, aiding model understanding and error detection.
Findings
Visualization reveals model failure modes
Online interface facilitates comprehensive error analysis
Visualization aids in data preprocessing and training sanity checks
Abstract
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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Taxonomy
TopicsComputational and Text Analysis Methods · Data Analysis with R · Cryospheric studies and observations
Methods*Communicated@Fast*How Do I Communicate to Expedia? · Max Pooling · Concatenated Skip Connection · Convolution · U-Net