Awesome Self-Supervised Learning
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*Table of Contents
Computer Vision
Survey
- Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey.
[pdf]
- Longlong Jing and Yingli Tian.
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
-
Joint Unsupervised Learning of Deep Representations and Image Clusters. [pdf] [code-torch] [code-caffe]
- Jianwei Yang, Devi Parikh, Dhruv Batra. CVPR 2016
-
Unsupervised Deep Embedding for Clustering Analysis. [pdf] [code]
- Junyuan Xie, Ross Girshick, and Ali Farhadi. ICML 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
-
Unsupervised Feature Learning via Non-parameteric Instance Discrimination [pdf] [code]
- Zhirong Wu, Yuanjun Xiong and X Yu Stella and Dahua Lin. CVPR 2018
-
Learning Image Representations by Completing Damaged Jigsaw Puzzles. [pdf]
- Kim, Dahun and Cho, Donghyeon and Yoo, Donggeun and Kweon, In So. WACV 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
-
Deep Clustering for Unsupervised Learning of Visual Features [pdf]
- Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze. ECCV 2018
-
Cross Pixel Optical-Flow Similarity for Self-Supervised Learning. [pdf]
- Aravindh Mahendran, James Thewlis, Andrea Vedaldi. ACCV 2018
2019
- Revisiting Self-Supervised Visual Representation Learning.
[pdf]
- Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer. CVPR 2019
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
-
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. [pdf]
- Kim, Dahun and Cho, Donghyeon and Yoo, Donggeun and Kweon, In So. AAAI 2019
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
-
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. [pdf]
- Bruno Korbar,Dartmouth College, Du Tran, Lorenzo Torresani. NIPS 2018
-
Self-Supervised Generation of Spatial Audio for 360° Video. [pdf]
- Pedro Morgado, Nuno Nvasconcelos, Timothy Langlois, Oliver Wang. NIPS 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
-
Free Supervision from Video Games. [pdf] [project+code]
- Philipp Krähenbühl. CVPR 2018
-
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
-
High-Fidelity Image Generation With Fewer Labels. [pdf]
- Mario Lucic*, Michael Tschannen*, Marvin Ritter*, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly.
-
Self-supervised Fitting of Articulated Meshes to Point Clouds.
- Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos and Yaser Sheikh. CVPR 2019
-
SCOPS: Self-Supervised Co-Part Segmentation.
- Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, and Jan Kautz. CVPR 2019
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
-
Large-Scale Study of Curiosity-Driven Learning. [pdf]
- Yuri Burda*, Harri Edwards*, Deepak Pathak*, Amos Storkey, Trevor Darrell and Alexei A. Efros
-
Playing hard exploration games by watching YouTube. [pdf]
- Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas. NIPS 2018
Robotics
2006
-
Improving Robot Navigation Through Self-Supervised Online Learning [pdf]
- Boris Sofman, Ellie Lin, J. Andrew Bagnell, Nicolas Vandapel, and Anthony Stentz
-
Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation [pdf]
- A. Lookingbill, D. Lieb, J. Rogers and J. Curry
2009
- Learning Long-Range Vision for Autonomous Off-Road Driving
[pdf]
- Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun
2012
- Self-supervised terrain classification for planetary surface exploration rovers
[pdf]
- Christopher A. Brooks, Karl Iagnemma
2014
- Terrain Traversability Analysis Using Multi-Sensor Data Correlation by a Mobile Robot
[pdf]
- Mohammed Abdessamad Bekhti, Yuichi Kobayashi and Kazuki Matsumura
2015
-
Online self-supervised learning for dynamic object segmentation [pdf]
- Vitor Guizilini and Fabio Ramos, The International Journal of Robotics Research
-
Self-Supervised Online Learning of Basic Object Push Affordances [pdf]
- Barry Ridge, Ales Leonardis, Ales Ude, Miha Denisa, and Danijel Skocaj
-
Self-supervised learning of grasp dependent tool affordances on the iCub Humanoid robot [pdf]
- Tanis Mar, Vadim Tikhanoff, Giorgio Metta, and Lorenzo Natale
2016
-
Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance [pdf]
- Kevin van Hecke, Guido de Croon, Laurens van der Maaten, Daniel Hennes, and Dario Izzo
-
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
-
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
2017
-
Supervision via Competition: Robot Adversaries for Learning Tasks. [pdf]
- Pinto, Lerrel and Davidson, James and Gupta, Abhinav. ICRA 2017
-
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge. [pdf] [Project]
- Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao. ICRA 2017
-
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation. [pdf] [Project]
- Ashvin Nair*, Dian Chen*, Pulkit Agrawal*, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine. ICRA 2017
-
Learning to Fly by Crashing [pdf]
- Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta IROS 2017
-
Self-supervised learning as an enabling technology for future space exploration robots: ISS experiments on monocular distance learning [pdf]
- K. van Hecke, G. C. de Croon, D. Hennes, T. P. Setterfield, A. Saenz- Otero, and D. Izzo
-
Unsupervised Perceptual Rewards for Imitation Learning. [pdf] [project]
- Sermanet, Pierre and Xu, Kelvin and Levine, Sergey. RSS 2017
-
Self-Supervised Visual Planning with Temporal Skip Connections. [pdf]
- Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine. CoRL2017
2018
-
CASSL: Curriculum Accelerated Self-Supervised Learning. [pdf]
- Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta. ICRA 2018
-
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
-
Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation. [pdf]
- Gregory Kahn, Adam Villaflor, Bosen Ding, Pieter Abbeel, Sergey Levine. ICRA 2018
-
Learning Actionable Representations from Visual Observations. [pdf] [Project]
- Dwibedi, Debidatta and Tompson, Jonathan and Lynch, Corey and Sermanet, Pierre. IROS 2018
-
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning. [pdf] [Project]
- Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, Thomas Funkhouser. IROS 2018
-
Visual Reinforcement Learning with Imagined Goals. [pdf] [Project]
- Ashvin Nair*, Vitchyr Pong*, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine.NeurIPS 2018
-
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. [pdf] [Project]
- Eric Jang*, Coline Devin*, Vincent Vanhoucke, Sergey Levine. CoRL 2018
-
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. [pdf] [Project]
- Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn. CoRL 2018
2019
-
Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry. [pdf]
- Mirko Nava, Jerome Guzzi, R. Omar Chavez-Garcia, Luca M. Gambardella, Alessandro Giusti. Robotics and Automation Letters
-
Learning Latent Plans from Play. [pdf] [Project]
- COREY LYNCH, MOHI KHANSARI, TED XIAO, VIKASH KUMAR, JONATHAN TOMPSON, SERGEY LEVINE, PIERRE SERMANET
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]
- Unsupervised Visual Learning Tutorial. CVPR 2018 [part 1] [part 2]
- Self-Supervised Learning. Andrew Zisserman (Oxford & Deepmind). [pdf]
- Graph Embeddings, Content Understanding, & Self-Supervised Learning. Yann LeCun. (NYU & FAIR) [pdf] [video]
- Self-supervised learning: could machines learn like humans? Yann LeCun @EPFL. [video]
Thesis
- Supervision Beyond Manual Annotations for Learning Visual Representations. Carl Doersch. [pdf].
- Image Synthesis for Self-Supervised Visual Representation Learning. Richard Zhang. [pdf].
- Visual Learning beyond Direct Supervision. Tinghui Zhou. [pdf].
- Visual Learning with Minimal Human Supervision. Ishan Misra. [pdf].
License
To the extent possible under law, Zhongzheng Ren has waived all copyright and related or neighboring rights to this work.