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EfficientVIT for Segmentation

Requirements

python 3.7/3.8 + pytorch 1.9.0 (biult on EGFNet)

Segmentation maps and performance

We provide segmentation maps on MFNet dataset and PST900 dataset under './model/'.

Performace on MFNet dataset

Performace on PST900 dataset

Training

  1. Download MFNet dataset (code: 3b9o) or PST900 dataset (code: mp2h).
  2. Run train_base_vit.py (default to MFNet Dataset).

Note: our main model is under './toolbox/models/LASNet_base.py'

Pre-trained model and testing

  1. Rename the name of the pre-trained model to 'model.pth', and then run test_base_vit.py (default to MFNet Dataset).

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