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Awesome-Mixup
Awesome List of Mixup Augmentation Papers for Visual Representation Learning
https://github.com/Westlake-AI/Awesome-Mixup
Last synced: about 5 hours ago
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Survey
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Label Mixup Methods
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**Other**
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Beyond Vision
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**Other**
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**NLP**
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**GNN**
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**3D Point**
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Table of Contents
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Sample Mixup Policies in SL
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**Optimizing Calibration**
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**Attention Score**
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**Saliency Token**
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**Area-based**
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**Optimizing Mixing Ratio**
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**Generating Label**
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**Loss Object**
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Fundermental Methods
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Analysis and Theorem
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Self-Supervised Learning
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**Contrastive Learning**
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Semi-Supervised Learning
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**Masked Image Modeling**
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Mixup for Self-supervised Learning
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CV Downstream Tasks
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**Object Detection**
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**Regression**
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**Long tail distribution**
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**Segmentation**
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Training Paradigms
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**Adversarial Attack and Adversarial Training**
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**Multi-Modal**
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**Federated Learning**
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**Domain Adaption**
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**Knowledge Distillation**
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Mixup for Robustness
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Label Mixup Methods
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Benchmark
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Contribution
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Classification Results on Datasets
- pull requests
- @Lupin1998 - Mixup`!
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Introduction
- Connected Papers
- ArXiv
- Awesome-Mixup - AI/openmixup) and [Awesome-Mix](https://github.com/ChengtaiCao/Awesome-Mix), and we are working on a comperhensive survey on mixup augmentations. You can read our survey: [**A Survey on Mixup Augmentations and Beyond**](https://arxiv.org/abs/2409.05202) see more detailed information.
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Mixup for Semi-supervised Learning
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Label Mixup Methods
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Mixup for Multi-modality
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Label Mixup Methods
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Natural Language Processing
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Related Project
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Classification Results on Datasets
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Related Datasets Link
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**Other**
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Programming Languages
Categories
Table of Contents
113
Beyond Vision
89
Training Paradigms
55
Self-Supervised Learning
53
Survey
39
CV Downstream Tasks
38
Analysis and Theorem
24
Fundermental Methods
5
Related Project
4
Mixup for Self-supervised Learning
3
Introduction
3
Related Datasets Link
3
Natural Language Processing
2
Contribution
2
Benchmark
2
Mixup for Robustness
1
Mixup for Multi-modality
1
Mixup for Semi-supervised Learning
1
Sub Categories
Sample Mixup Policies in SL
82
**Other**
81
**Contrastive Learning**
31
Label Mixup Methods
27
**3D Point**
23
**NLP**
22
**Federated Learning**
19
Semi-Supervised Learning
18
**Segmentation**
17
**Domain Adaption**
14
**GNN**
14
**Adversarial Attack and Adversarial Training**
11
**Regression**
11
**Attention Score**
10
**Multi-Modal**
9
Classification Results on Datasets
6
**Object Detection**
6
**Optimizing Mixing Ratio**
5
**Area-based**
5
**Optimizing Calibration**
5
**Long tail distribution**
4
**Masked Image Modeling**
4
Sample Mixup Methods
3
**Saliency Token**
3
**Knowledge Distillation**
2
**Loss Object**
2
**Generating Label**
1
Keywords
mixup
14
deep-learning
14
data-augmentation
14
pytorch
11
contrastive-learning
8
machine-learning
8
self-supervised-learning
6
representation-learning
6
augmentation
5
imagenet
5
computer-vision
5
image-classification
4
segmentation
3
unsupervised-learning
3
data-augmentations
3
masked-image-modeling
3
data-generation
3
semisupervised-learning
3
vision-transformer
3
regularization
3
cutmix
3
nlp
3
lidar
2
point-cloud
2
object-detection
2
image-augmentation
2
reinforcement-learning
2
natural-language-processing
2
nlp-augmentation
2
graph-self-supervised-learning
2
awesome-mixup
2
benchmark
2
semi-supervised-learning
2
mix-up
2
robustness
2
transfer-learning
2
dataaugmentation
2
transformer
2
continuity
1
neurips
1
medical-image-analysis
1
tiny-imagenet
1
stl-10
1
simclr
1
linear-probing
1
knn-classification
1
cifar-100
1
uncertainty-estimation
1
text-classification
1
open-world-classification
1