- Pytorch 1.1
- cuda 9.0
- python 3.6
- GPU Memory>=12G
We evaluate our method on CUHK-PEDES. Please visit Here.
- You need to generate tokens to "/data/BERT_encode/" by running "BERT_token_64.py" or downloading from Here.
- If you want to train the network, you can run our code with the following commands:
python train.py --max-length 64 --batch-size 64 --num-epoches 80 --adam-lr 0.003 --gpus 0
Top-1 | Top-5 | Top-10 |
---|---|---|
63.63 | 82.81 | 89.01 |