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https://github.com/ArcherFMY/Paper_Reading_List

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
https://github.com/ArcherFMY/Paper_Reading_List

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Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

Host: GitHub
URL: https://github.com/ArcherFMY/Paper_Reading_List
Owner: ArcherFMY
License: mit
Created: 2017-06-28T07:34:47.000Z (almost 7 years ago)
Default Branch: master
Last Pushed: 2020-09-22T08:42:20.000Z (almost 4 years ago)
Last Synced: 2024-01-20T20:17:55.819Z (5 months ago)
Topics: papers
Size: 28.5 MB
Stars: 707
Watchers: 67
Forks: 175
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-ai-list-guide - Paper_Reading_List
awesome-papers - ArcherFMY/Paper_Reading_List

README

        # Recommended Papers ![Maintenance](https://img.shields.io/badge/maintained-yes-brightgreen.svg) [![DUB](https://img.shields.io/badge/MIT-license-brightgreen.svg)](LICENSE)

- The goal of this document is to provide a reading list for Deep Learning in Computer Vision Field.

### Recommended Links

- Deep Learning Paper Reading Roadmap from [songrotek](https://github.com/songrotek)

  >If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"

  >Here is a reading roadmap of Deep Learning papers! [`link`](https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap)

- Deep-Learning-Paper list from [sbrugman](https://github.com/sbrugman)  

  >Deep Learning Papers by task! [`link`](https://github.com/sbrugman/deep-learning-papers)

- Deep-Learning-Paper-Notes from [dennybritz](https://github.com/dennybritz)  

  >Summaries and notes on Deep Learning research papers! (sorted by time) [`link`](https://github.com/dennybritz/deeplearning-papernotes)

  

### Paper Collections

- [CVPR 2017 papers related to Attention Model](CVPR2017-Attention-model/README.md)

- [Paper List for Instance Aware Tasks](Instance-Aware-Paper-List/README.md)

- [Paper List Related to Deformable Conv](Deformable-Conv/README.md)

### Topics

#### Image

- [Salient Object Detection](Image-01-Salient-Object-Detection.md)

  >[DATASETS & EVALUATIONS](https://github.com/ArcherFMY/sal_eval_toolbox)

- [Object Detection](Image-02-Object-Detection.md)

- [Object Localization](Image-03-Object-Localization.md)

- [Semantic Segmentation and Scene Parsing](Image-04-Semantic-Segmentation-and-Scene-Parsing.md)

- [Edge Detection](Image-05-Edge-Detection.md)

- [Pose Estimation](Image-06-Pose-Estimation.md)

- [Super Resolution](Image-07-Super-Resolution.md)

- [Image Classification](Image-08-Image-Classification.md)

- [Visual Question Answering](Image-09-Visual-Question-Answering.md)

#### Video

- [Visual Object Tracking](Video-01-Visual-Object-Tracking.md)

- [Video Object Segmentation](Video-02-Video-Object-Segmentation.md)

  >DATASETS [[DAVIS]](https://davischallenge.org/davis2017/soa_compare.html)  [[YouTube-VOS]](https://youtube-vos.org/)  [[SegTrack_v2]](https://www.cc.gatech.edu/~fli/SegTrack2/dataset.html)  [[JumpCut]](http://irc.cs.sdu.edu.cn/JumpCut/) [YouTube-Objects: [source](https://data.vision.ee.ethz.ch/cvl/youtube-objects/) [masks](http://vision.cs.utexas.edu/projects/videoseg/)]

#### Others

- [Others](Others.md)

### Notes: 

- For __adding/updating the list__,

	[1]: Fork the repository

	

	[2]: Update corresponding `*.md` file and add figures into `data/`

	

	[3]: Send a pull request : )

	

- [AI Deadlines](https://aideadlin.es/) Countdowns to top CV/NLP/ML/Robotics/AI conference deadlines