Extending Scene-to-Patch Models: Multi-Resolution Multiple Instance Learning for Earth Observation

This repo contains the code for the paper "Extending Scene-to-Patch Models: Multi-Resolution Multiple Instance Learning for Earth Observation".
We use Bonfire for the backend MIL functionality.

Below we break down each of the directories in this repo:

Config

Configuration for model parameters.

Models

Contains the trained model files. Five repeats per configuration.

Out

Interpretability outputs and other figures that are used in the paper

Results

Raw results for our experiments: scene-level RSME and MAE, patch-level mIoU, and pixel-level mIoU.

Scripts

Contains our executable scripts. These are the entry points to our experiments, and should be run from the root of the repo.

Src

Contains our project-specific code. This includes the dataset, high-level model implementations (low-level model code is implemented in Bonfire), and interpretability studies.