/awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

Awesome Self-Supervised LearningAwesome

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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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

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.