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https://github.com/Yutong-Zhou-cv/Awesome-Survey-Papers
A curated list of Survey Papers on Deep Learning.
https://github.com/Yutong-Zhou-cv/Awesome-Survey-Papers
List: Awesome-Survey-Papers
awsome-list survey
Last synced: about 2 months ago
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A curated list of Survey Papers on Deep Learning.
- Host: GitHub
- URL: https://github.com/Yutong-Zhou-cv/Awesome-Survey-Papers
- Owner: Yutong-Zhou-cv
- Created: 2022-02-23T11:03:53.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-05T03:44:04.000Z (about 1 year ago)
- Last Synced: 2024-05-23T06:00:50.595Z (4 months ago)
- Topics: awsome-list, survey
- Homepage:
- Size: 7.81 KB
- Stars: 9
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- Awesome-Multimodality - Survey
README
#
Awesome Survey Papers🔍
[](https://github.com/sindresorhus/awesome)  
A curated list of Survey Papers on Deep Learning.
## *Content*
* [Captioning](#Captioning)
* [Deblurring](#Deblurring)
* [Image Deblurring](#I-Deblurring)
* [Video Deblurring](#V-Deblurring)
* [Face](#Face)
* [Face Recognition](#Face-Recognition)
* [Facial Expression Analysis](#Facial-Expression-Analysis)
* [GANs](#GANs)
* [Graph Neural Networks](#Graph-Neural-Networks)
* [Detection](#Detection)
* [Object Detection](#Object-Detection)
* [Recognition](#Recognition)
* [Activity Recognition](#Activity-Recognition)
* [Semantic Segmentation](#Semantic-Segmentation)
* [Super Resolution](#Super-Resolution)
* [Synthesis](#Synthesis)
* [Text to Image](#Text-to-Image)
* [Vision Transformer](#Vision-Transformer)
## *🌼Vision Transformer*
|Year|Publication|Paper|
|:---:|:---:|:---:|
|**2022**|IEEE Transactions on Pattern Analysis and Machine Intelligence|[A Survey on Vision Transformer](https://ieeexplore.ieee.org/abstract/document/9716741/)|
|2022|International Journal of Computer Vision|[Perspectives and Prospects on Transformer Architecture for **Cross-Modal Tasks** with Language and Vision](https://link.springer.com/article/10.1007/s11263-021-01547-8)|
|2022|ACM Computing Surveys|[Transformers in Vision: A Survey](https://dl.acm.org/doi/abs/10.1145/3505244)|
|2022|AI Open|[Survey: Transformer based **video-language** pre-training](https://www.sciencedirect.com/science/article/pii/S2666651022000018)|
|2022|arXiv|[Transformers in **Medical Image Analysis**: A Review](https://arxiv.org/abs/2202.12165)|
|2022|arXiv|[Transformer for **Graphs**: An Overview from Architecture Perspective](https://arxiv.org/abs/2202.08455)|
|2022|arXiv|[**Video** Transformers: A Survey](https://arxiv.org/abs/2201.05991)|
|2022|arXiv|[Transformers in **Medical Imaging**: A Survey](https://arxiv.org/abs/2201.09873v1) [[**Github**](https://github.com/fahadshamshad/awesome-transformers-in-medical-imaging)]|
||||
|**2021**|Computational Visual Media|[Transformers in **computational visual media**: A survey](https://link.springer.com/article/10.1007/s41095-021-0247-3)|
|2021|arXiv|[A Survey of Visual Transformers](https://arxiv.org/abs/2111.06091)|
|2021|arXiv|[**Attention mechanisms** and deep learning for machine vision: A survey of the state of the art](https://arxiv.org/abs/2106.07550)|
|2021|arXiv|[A Survey of Transformers](https://arxiv.org/abs/2106.04554)|
|2021|arXiv|[A Practical Survey on **Faster** and **Lighter** Transformers](https://arxiv.org/abs/2103.14636)|
||||
|**2020**|arXiv|[**Efficient** Transformers: A Survey](https://arxiv.org/abs/2009.06732)|
[ «🎯Back To Top» ](#)
## *🌼GANs*
|Year|Publication|Paper|
|:---:|:---:|:---:|
|**2023**|Preprint|[Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art](https://www.researchgate.net/publication/373551906_Ten_Years_of_Generative_Adversarial_Nets_GANs_A_survey_of_the_state-of-the-art)|