setr-pytorch
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Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Segmentation Transformer
Implementation of Segmentation Transformer in PyTorch, a new model to achieve SOTA in semantic segmentation while using transformer style encoders.
Features
- [x] SETR
- [x] SETR-Naive
- [x] SETR-PUP
- [x] SETR-MLA
- [x] SETR-Hybrid
To Do:
- [ ] Training Scripts
Installation
Create the environment:
conda env create -f environment.yml