awesome-self-supervised-learning papers

https://github.com/jason718/awesome-self-supervised-learning

Awesome Self-Supervised Learnin

A curated list of awesome Self-Supervised Learning resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers, and awesome-architecture-search

Self-Supervised Learning has become an exciting direction in Computer Vision, Machine Learning, and Robotics community. These are some of the awesome resources!

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Please help contribute this list by contacting me or add pull request

Markdown format:

- Paper Name. 
  [[pdf]](link) 
  [[code]](link)  - Author 1, Author 2, and Author 3. *Conference'Year*

Change Log

• July.29 ECCV'18 papers updated!

Table of Contents

• Computer Vision
  • Image Representation Learning
  • Video Representation Learning
  • Geometry
  • Audio
  • Others
• Machine Learning
  • Reinforcement Learning
• Robotics
• Talks

Computer Vision

Image Representation Learning

2015

• Unsupervised Visual Representation Learning by Context Prediction.[pdf][code]
  • Doersch, Carl and Gupta, Abhinav and Efros, Alexei A. ICCV 2015
• Unsupervised Learning of Visual Representations using Videos.[pdf][code]
  • Wang, Xiaolong and Gupta, Abhinav. ICCV 2015
• Learning to See by Moving.[pdf][code]
  • Agrawal, Pulkit and Carreira, Joao and Malik, Jitendra. ICCV 2015
• Learning image representations tied to ego-motion.[pdf][code]
  • Jayaraman, Dinesh and Grauman, Kristen. ICCV 2015

2016

• Slow and steady feature analysis: higher order temporal coherence in video.[pdf]
  • Jayaraman, Dinesh and Grauman, Kristen. CVPR 2016
• Context Encoders: Feature Learning by Inpainting.[pdf][code]
  • Pathak, Deepak and Krahenbuhl, Philipp and Donahue, Jeff and Darrell, Trevor and Efros, Alexei A. CVPR 2016
• Colorful Image Colorization.[pdf][code]
  • Zhang, Richard and Isola, Phillip and Efros, Alexei A. ECCV 2016
• Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles.[pdf][code]
  • Noroozi, Mehdi and Favaro, Paolo. ECCV 2016
• Ambient Sound Provides Supervision for Visual Learning.[pdf][code]
  • Owens, Andrew and Wu, Jiajun and McDermott, Josh and Freeman, William and Torralba, Antonio. ECCV 2016
• Learning Representations for Automatic Colorization.[pdf][code]
  • Larsson, Gustav and Maire, Michael and Shakhnarovich, Gregory. ECCV 2016
• Unsupervised Visual Representation Learning by Graph-based Consistent Constraints.[pdf][code]
  • Li, Dong and Hung, Wei-Chih and Huang, Jia-Bin and Wang, Shengjin and Ahuja, Narendra and Yang, Ming-Hsuan. ECCV 2016

2017

• Adversarial Feature Learning.[pdf][code]
  • Donahue, Jeff and Krahenbuhl, Philipp and Darrell, Trevor. ICLR 2017
• Self-supervised learning of visual features through embedding images into text topic spaces.[pdf][code]
  • L. Gomez* and Y. Patel* and M. Rusiñol and D. Karatzas and C.V. Jawahar. CVPR 2017
• Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction.[pdf][code]
  • Zhang, Richard and Isola, Phillip and Efros, Alexei A. CVPR 2017
• Learning Features by Watching Objects Move.[pdf][code]
  • Pathak, Deepak and Girshick, Ross and Dollar, Piotr and Darrell, Trevor and Hariharan, Bharath. CVPR 2017
• Colorization as a Proxy Task for Visual Understanding.[pdf][code]
  • Larsson, Gustav and Maire, Michael and Shakhnarovich, Gregory. CVPR 2017
• DeepPermNet: Visual Permutation Learning.[pdf][code]
  • Cruz, Rodrigo Santa and Fernando, Basura and Cherian, Anoop and Gould, Stephen. CVPR 2017
• Unsupervised Learning by Predicting Noise.[pdf][code]
  • Bojanowski, Piotr and Joulin, Armand. ICML 2017
• Multi-task Self-Supervised Visual Learning.[pdf]
  • Doersch, Carl and Zisserman, Andrew. ICCV 2017
• Representation Learning by Learning to Count.[pdf]
  • Noroozi, Mehdi and Pirsiavash, Hamed and Favaro, Paolo. ICCV 2017
• Transitive Invariance for Self-supervised Visual Representation Learning.[pdf]
  • Wang, Xiaolong and He, Kaiming and Gupta, Abhinav. ICCV 2017
• Look, Listen and Learn.[pdf]
  • Relja, Arandjelovic and Zisserman, Andrew. ICCV 2017
• Unsupervised Representation Learning by Sorting Sequences.[pdf][code]
  • Hsin-Ying Lee, Jia-Bin Huang, Maneesh Kumar Singh, and Ming-Hsuan Yang. ICCV 2017

2018

• Learning Image Representations by Completing Damaged Jigsaw Puzzles.[pdf]
  • Kim, Dahun and Cho, Donghyeon and Yoo, Donggeun and Kweon, In So. WAVC 2018
• Unsupervised Representation Learning by Predicting Image Rotations.[pdf][code]
  • Spyros Gidaris and Praveer Singh and Nikos Komodakis. ICLR 2018
• Improvements to context based self-supervised learning.[pdf]
  • Terrell Mundhenk and Daniel Ho and Barry Chen. CVPR 2018
• Self-Supervised Feature Learning by Learning to Spot Artifacts.
  • Simon Jenni and Universität Bern and Paolo Favaro. CVPR 2018
• Boosting Self-Supervised Learning via Knowledge Transfer.[pdf]
  • Mehdi Noroozi and Ananth Vinjimoor and Paolo Favaro and Hamed Pirsiavash. CVPR 2018
• Cross-domain Self-supervised Multi-task Feature Learning Using Synthetic Imagery.[pdf][code]
  • Zhongzheng Ren and Yong Jae Lee. CVPR 2018
• ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids.[pdf]
  • Dinesh Jayaraman*, UC Berkeley; Ruohan Gao, University of Texas at Austin; Kristen Grauman. ECCV 2018

Video Representation Learning

• Unsupervised Learning of Video Representations using LSTMs.[pdf][code]
  • Srivastava, Nitish and Mansimov, Elman and Salakhudinov, Ruslan. ICML 2015
• Shuffle and Learn: Unsupervised Learning using Temporal Order Verification.[pdf][code]
  • Ishan Misra, C. Lawrence Zitnick and Martial Hebert. ECCV 2016
• LSTM Self-Supervision for Detailed Behavior Analysis[pdf]
  • Biagio Brattoli*, Uta Büchler*, Anna-Sophia Wahl, Martin E. Schwab, and Björn Ommer. CVPR 2017
• Self-Supervised Video Representation Learning With Odd-One-Out Networks.[pdf]
  • Basura Fernando and Hakan Bilen and Efstratios Gavves and Stephen Gould. CVPR 2017
• Unsupervised Learning of Long-Term Motion Dynamics for Videos.[pdf]
  • Luo, Zelun and Peng, Boya and Huang, De-An and Alahi, Alexandre and Fei-Fei, Li. CVPR 2017
• Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning.[pdf]
  • Chuang Gan and Boqing Gong and Kun Liu and Hao Su and Leonidas J. Guibas. CVPR 2018
• Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning.[pdf]
  • Biagio Brattoli*, Uta Büchler*, and Björn Ommer. ECCV 2018

Geometry

• Self-supervised Learning of Motion Capture.[pdf][code][web]
  • Tung, Hsiao-Yu and Tung, Hsiao-Wei and Yumer, Ersin and Fragkiadaki, Katerina. NIPS 2017
• Unsupervised Learning of Depth and Ego-Motion from Video.[pdf][code][web]
  • Zhou, Tinghui and Brown, Matthew and Snavely, Noah and Lowe, David G. CVPR 2017
• Active Stereo Net: End-to-End Self-Supervised Learning for Active Stereo Systems.[project]
  • Yinda Zhang*, Sean Fanello, Sameh Khamis, Christoph Rhemann, Julien Valentin, Adarsh Kowdle, Vladimir Tankovich, Shahram Izadi, Thomas Funkhouser. ECCV 2018
• Self-Supervised Relative Depth Learning for Urban Scene Understanding.[pdf][project]
  • Huaizu Jiang*, Erik Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich. ECCV 2018

Audio

• Audio-Visual Scene Analysis with Self-Supervised Multisensory Features.[pdf][code]
  • Andrew Owens, Alexei A. Efros. ECCV 2018
• Objects that Sound.[pdf]
  • R. Arandjelović, A. Zisserman. ECCV 2018
• Learning to Separate Object Sounds by Watching Unlabeled Video.[pdf][project]
  • Ruohan Gao, Rogerio Feris, Kristen Grauman. ECCV 2018

Others

• Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model.[pdf]
  • Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro. CVPR 2017
• Fighting Fake News: Image Splice Detection via Learned Self-Consistency[pdf][code]
  • Minyoung Huh*, Andrew Liu*, Andrew Owens, Alexei A. Efros. ECCV 2018
• Self-supervised Tracking by Colorization (Tracking Emerges by Colorizing Videos).[pdf]
  • Carl Vondrick*, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy. ECCV 2018

Machine Learning

• Self-taught Learning: Transfer Learning from Unlabeled Data.[pdf]
  • Raina, Rajat and Battle, Alexis and Lee, Honglak and Packer, Benjamin and Ng, Andrew Y. ICML 2007
• Representation Learning: A Review and New Perspectives.[pdf]
  • Bengio, Yoshua and Courville, Aaron and Vincent, Pascal. TPAMI 2013.

Reinforcement Learning

• Curiosity-driven Exploration by Self-supervised Prediction.[pdf][code]
  • Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, and Trevor Darrell. ICML 2017
• coming soon...

Robotics

• The Curious Robot: Learning Visual Representations via Physical Interactions.[pdf]
  • Lerrel Pinto and Dhiraj Gandhi and Yuanfeng Han and Yong-Lae Park and Abhinav Gupta. ECCV 2016
• Time-Contrastive Networks: Self-Supervised Learning from Video.[pdf][Project]
  • Pierre Sermanet and Corey Lynch and Yevgen Chebotar and Jasmine Hsu and Eric Jang and Stefan Schaal and Sergey Levine. ICRA 2018
• Learning to Poke by Poking: Experiential Learning of Intuitive Physics.[pdf]
  • Agrawal, Pulkit and Nair, Ashvin V and Abbeel, Pieter and Malik, Jitendra and Levine, Sergey. NIPS 2016
• Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours. [pdf]
  • Pinto, Lerrel and Gupta, Abhinav. ICRA 2016
• Supervision via Competition: Robot Adversaries for Learning Tasks.[pdf]
  • Pinto, Lerrel and Davidson, James and Gupta, Abhinav. ICRA 2017

Talks

• Supersizing Self-Supervision: Learning Perception and Action without Human Supervision. Abhinav Gupta (CMU) [link]
• Self-supervision, Meta-supervision, Curiosity: Making Computers Study Harder. Alyosha Efros (UCB) [link]

License

To the extent possible under law, Zhongzheng Ren has waived all copyright and related or neighboring rights to this work.