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1. Running Environments

Python  3.7.6

Pytorch  1.6.0

TITAN XP

Ubuntu 14.04.6 LTS

2. Main Files

train.py: The training file.

model.py: Defining the CLVC-NET model structure.

text_model.py: Defining the text encoder.

resnet.py: Defining the image encoder.

datasets.py: The data loading file.

test.py: The testing file.

3. Download

Codes.

Codes and pre-trained models:

https://drive.google.com/file/d/159rBhWyhkLN7sXAi8iyW_ljzFNLJinKa/view?usp=sharing

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4. Notes

Note that for the FashionIQ dataset, we first resize the downloaded images  follow the XiaoxiaoGuo by resize_images.py

 

Copyright (C) <2021>  Shandong University

 

This program is licensed under the GNU General Public License 3.0 (https://www.gnu.org/licenses/gpl-3.0.html). Any derivative work obtained under this license must be licensed under the GNU General Public License as published by the Free Software Foundation, either Version 3 of the License, or (at your option) any later version, if this derivative work is distributed to a third party.

 

The copyright for the program is owned by Shandong University. For commercial projects that require the ability to distribute the code of this program as part of a program that cannot be distributed under the GNU General Public License, please contact <whenhaokun@gmail.com> to purchase a commercial license.

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