# Supplymentary Materials

> Submitted ICLR2023 paper: "HagSeg: Hardness-adaptive Guidance for Semi-supervised Semantic Segmentation".

There are three folders

- `logs-suponly`: all the supervised logs of using only provided labeled data under different partitions
- `logs-semi`: logs recording the semi-supervised results.
- `augseg-code`: the source code of HagSeg
  - no personal information inside
  - current, removal of some key codes
    - e.g., `loss_helper.py` includes how we evaluate the hardness and how we calculate the hardness-adaptive consistency losses
  - Complete codes will be released upon acceptance.

