Code

Research code and datasets.

PyTorch calibration utilities for histogram binning, global temperature scaling, and class-wise temperature scaling.

  • Python
  • PyTorch
  • calibration
  • Run global and class-wise temperature scaling on classifier logits.
  • Produce the calibration plots and expected-calibration-error summaries implemented in the repository.
  • Use the utilities as building blocks for calibration experiments.

Companion code for OpenStreetMap-guided temporal satellite imagery collection and annotation.

  • Python
  • OpenStreetMap
  • remote sensing
  • Extract candidate construction-site polygons from OpenStreetMap data.
  • Download temporal satellite imagery for the extracted regions.
  • Inspect the released sample dataset and notebook; annotation and split-export tools are not included.

Supports:  A Framework for Semi-automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic Regions

Companion code for ISVC 2022 / MVA 2025: per-class reject-option classification with binomial threshold search.

  • Python
  • PyTorch
  • selective prediction
  • Learn per-class reject thresholds from precomputed classifier logits and labels.
  • Evaluate select accuracy, reject accuracy, and coverage for the learned thresholds.
  • Run the included calibration and threshold-analysis utilities; no coverage-curve exporter is bundled.

Supports:  Learning When to Say “I Don’t Know” , Naturally Constrained Reject Option Classification