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Update README.md

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# Dynamic-Backward-Attention-Transformer
This is the official repository of the paper "Enhancing Material Features Using Dynamic Backward Attention on Cross-Resolution Patches".
To avoid leaking information, the code is hosted on anonymous.4open.science, which does not support clone nor download the whole project. Please view the code online. The main code is at torchtools/models/dpglt/dpglt_single_branch.py
If you want to try the code, please read the following guidance.
## Environment
To install the dependencies, please refer to the conda env file (modify the name and prefix first).
```
conda env create -f environment.yml
```
Or, if you prefer using docker, please pull our prepared image:
Or, if you prefer using docker, you can build the environment with the Dockerfile in this project:
```
removed due to anonymous
sudo DOCKER_BUILDKIT=1 docker build -t dbat:1.0.0 -f Dockerfile .
```
## Local Material Dataset
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