├── NOTICE
├── examples
├── .DS_Store
├── mixgen.png
└── mixgen_sample.png
├── CODE_OF_CONDUCT.md
├── mixgen.py
├── README.md
├── CONTRIBUTING.md
└── LICENSE
/NOTICE:
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1 | Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
2 |
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/examples/.DS_Store:
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https://raw.githubusercontent.com/amazon-science/mix-generation/HEAD/examples/.DS_Store
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/examples/mixgen.png:
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https://raw.githubusercontent.com/amazon-science/mix-generation/HEAD/examples/mixgen.png
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/examples/mixgen_sample.png:
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https://raw.githubusercontent.com/amazon-science/mix-generation/HEAD/examples/mixgen_sample.png
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/CODE_OF_CONDUCT.md:
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1 | ## Code of Conduct
2 | This project has adopted the [Amazon Open Source Code of Conduct](https://aws.github.io/code-of-conduct).
3 | For more information see the [Code of Conduct FAQ](https://aws.github.io/code-of-conduct-faq) or contact
4 | opensource-codeofconduct@amazon.com with any additional questions or comments.
5 |
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/mixgen.py:
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1 | """
2 | MixGen: A New Multi-Modal Data Augmentation
3 | https://arxiv.org/abs/2206.08358
4 | Apache-2.0 License, Copyright 2022 Amazon
5 | """
6 | import random
7 | import numpy as np
8 |
9 |
10 | def mixgen(image, text, num, lam=0.5):
11 | # default MixGen
12 | for i in range(num):
13 | # image mixup
14 | image[i,:] = lam * image[i,:] + (1 - lam) * image[i+num,:]
15 | # text concat
16 | text[i] = text[i] + " " + text[i+num]
17 | return image, text
18 |
19 |
20 | def mixgen_batch(image, text, num, lam=0.5):
21 | batch_size = image.size()[0]
22 | index = np.random.permutation(batch_size)
23 | for i in range(batch_size):
24 | # image mixup
25 | image[i,:] = lam * image[i,:] + (1 - lam) * image[index[i],:]
26 | # text concat
27 | text[i] = text[i] + " " + text[index[i]]
28 | return image, text
29 |
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/README.md:
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1 | ## MixGen: A New Multi-Modal Data Augmentation
2 |
3 | This is the official PyTorch implementation of [MixGen](https://arxiv.org/abs/2206.08358), which is a joint data augmentation technique for vision-language representation learning to improve data efficiency.
4 |
5 |
6 |
7 | Here are some image-text pairs generated by MixGen,
8 |
9 |
10 |
11 |
12 | ## How to use
13 |
14 | MixGen is an input-level data augmentation technique, which can be plugged-and-played into existing vision-language learning methods with minimal code change.
15 |
16 | Here we adopt [ALBEF, NeurIPS'21](https://arxiv.org/abs/2107.07651) as an illustrating example. We only need to add one line between dataloader and model forward [here](https://github.com/salesforce/ALBEF/blob/main/Pretrain.py#L54).
17 |
18 | That is, change from
19 |
20 | ```
21 | for i, (image, text) in enumerate(metric_logger.log_every(data_loader, print_freq, header)):
22 | optimizer.zero_grad()
23 | ```
24 |
25 | to
26 | ```
27 | import mixgen as mg
28 | for i, (image, text) in enumerate(metric_logger.log_every(data_loader, print_freq, header)):
29 | image, text = mg.mixgen(image, text, num=16)
30 | optimizer.zero_grad()
31 | ```
32 |
33 | And that's it!!! No more changes needed to be made. You can simply kicoff training just like ALBEF does,
34 |
35 |
36 | ```
37 | python -m torch.distributed.launch --nproc_per_node=8 --use_env Pretrain.py
38 | ```
39 |
40 | ## Citation
41 |
42 | If you find MixGen useful in your research, please kindly consider to cite the following paper.
43 | ```
44 | @InProceedings{Hao_2023_WACV,
45 | author = {Hao, Xiaoshuai and Zhu, Yi and Appalaraju, Srikar and Zhang, Aston and Zhang, Wanqian and Li, Bo and Li, Mu},
46 | title = {MixGen: A New Multi-Modal Data Augmentation},
47 | booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
48 | month = {January},
49 | year = {2023},
50 | pages = {379-389}
51 | }
52 | ```
53 |
54 |
55 | ## Security
56 |
57 | See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.
58 |
59 | ## License
60 |
61 | This project is licensed under the Apache-2.0 License.
62 |
63 |
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/CONTRIBUTING.md:
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1 | # Contributing Guidelines
2 |
3 | Thank you for your interest in contributing to our project. Whether it's a bug report, new feature, correction, or additional
4 | documentation, we greatly value feedback and contributions from our community.
5 |
6 | Please read through this document before submitting any issues or pull requests to ensure we have all the necessary
7 | information to effectively respond to your bug report or contribution.
8 |
9 |
10 | ## Reporting Bugs/Feature Requests
11 |
12 | We welcome you to use the GitHub issue tracker to report bugs or suggest features.
13 |
14 | When filing an issue, please check existing open, or recently closed, issues to make sure somebody else hasn't already
15 | reported the issue. Please try to include as much information as you can. Details like these are incredibly useful:
16 |
17 | * A reproducible test case or series of steps
18 | * The version of our code being used
19 | * Any modifications you've made relevant to the bug
20 | * Anything unusual about your environment or deployment
21 |
22 |
23 | ## Contributing via Pull Requests
24 | Contributions via pull requests are much appreciated. Before sending us a pull request, please ensure that:
25 |
26 | 1. You are working against the latest source on the *main* branch.
27 | 2. You check existing open, and recently merged, pull requests to make sure someone else hasn't addressed the problem already.
28 | 3. You open an issue to discuss any significant work - we would hate for your time to be wasted.
29 |
30 | To send us a pull request, please:
31 |
32 | 1. Fork the repository.
33 | 2. Modify the source; please focus on the specific change you are contributing. If you also reformat all the code, it will be hard for us to focus on your change.
34 | 3. Ensure local tests pass.
35 | 4. Commit to your fork using clear commit messages.
36 | 5. Send us a pull request, answering any default questions in the pull request interface.
37 | 6. Pay attention to any automated CI failures reported in the pull request, and stay involved in the conversation.
38 |
39 | GitHub provides additional document on [forking a repository](https://help.github.com/articles/fork-a-repo/) and
40 | [creating a pull request](https://help.github.com/articles/creating-a-pull-request/).
41 |
42 |
43 | ## Finding contributions to work on
44 | Looking at the existing issues is a great way to find something to contribute on. As our projects, by default, use the default GitHub issue labels (enhancement/bug/duplicate/help wanted/invalid/question/wontfix), looking at any 'help wanted' issues is a great place to start.
45 |
46 |
47 | ## Code of Conduct
48 | This project has adopted the [Amazon Open Source Code of Conduct](https://aws.github.io/code-of-conduct).
49 | For more information see the [Code of Conduct FAQ](https://aws.github.io/code-of-conduct-faq) or contact
50 | opensource-codeofconduct@amazon.com with any additional questions or comments.
51 |
52 |
53 | ## Security issue notifications
54 | If you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our [vulnerability reporting page](http://aws.amazon.com/security/vulnerability-reporting/). Please do **not** create a public github issue.
55 |
56 |
57 | ## Licensing
58 |
59 | See the [LICENSE](LICENSE) file for our project's licensing. We will ask you to confirm the licensing of your contribution.
60 |
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