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@@ -22,15 +22,19 @@ The framework of DLF. Please refer to [Paper Link](arxiv) for details.
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  - CUDA 11.7
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  ### Installation
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- - Create conda environment. Please make sure you have installed conda before.
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  ```
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  conda create -n DLF python==3.9.13
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  ```
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  ```
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  pip install torch==1.13.0+cu117 torchvision==0.14.0+cu117 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu117
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  ```
 
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  ```
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- pip instal requirements.txt
 
 
 
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  ```
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  ### Datasets
@@ -41,7 +45,7 @@ Please note that the meta information and the raw data are not available due to
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  ### Run the Codes
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  - Training
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- You can first set the traning dataset name in `./train.py` as "mosei" or "mosi", and then run:
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  ```
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  python3 train.py
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  ```
@@ -53,11 +57,11 @@ You can first set the testing dataset name in `./test.py` as "mosei" or "mosi",
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  ```
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  python3 test.py
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  ```
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- We also provide pretrained models for testing. ([Google drive](https://drive.google.com/drive/folders/1GgCfC1ITAnRRw6RScGc7c2YUg5Ccbdba?usp=sharing))
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  ### Citation
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- If you find the code and our idea helpful in your resarch or work, please cite the following paper.
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  ```
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  @article{wang2025dlf,
 
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  - CUDA 11.7
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  ### Installation
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+ - Create a conda environment. Please make sure you have installed conda before.
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  ```
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  conda create -n DLF python==3.9.13
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  ```
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  ```
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  pip install torch==1.13.0+cu117 torchvision==0.14.0+cu117 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu117
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  ```
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+ - Clone this repo.
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  ```
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+ git clone https://github.com/pwang322/DLF.git
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+ ```
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+ ```
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+ pip install requirements.txt
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  ```
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  ### Datasets
 
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  ### Run the Codes
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  - Training
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+ You can first set the training dataset name in `./train.py` as "mosei" or "mosi", and then run:
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  ```
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  python3 train.py
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  ```
 
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  ```
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  python3 test.py
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  ```
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+ We also provide pre-trained models for testing. ([Google drive](https://drive.google.com/drive/folders/1GgCfC1ITAnRRw6RScGc7c2YUg5Ccbdba?usp=sharing))
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  ### Citation
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+ If you find the code and our idea helpful in your research or work, please cite the following paper.
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  ```
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  @article{wang2025dlf,