Unsupervised Representation Learning by Sorting Sequences

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2017-October, Issue , 2017, Pages 667-676

  Lee, Hsin Ying ^a   Huang, Jia Bin ^b   Singh, Maneesh ^c   Yang, Ming Hsuan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^c Verisk Analytics Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; NEURAL NETWORKS; OBJECT DETECTION; SEMANTICS;

ACTION RECOGNITION; CHRONOLOGICAL ORDER; CONVOLUTIONAL NEURAL NETWORK; LEARNING APPROACH; STATE-OF-THE-ART METHODS; TEMPORAL COHERENCE; TEMPORAL STRUCTURES; VISUAL REPRESENTATIONS;

COMPUTER VISION;

EID: 85041918226     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2017.79     Document Type: Conference Paper

References (44)

1. S. Abu-El-Haija, N. Kothari, J. Lee, P. Natsev, G. Toderici, B. Varadarajan, and S. Vijayanarasimhan. Youtube-8m: A large-scale video classification benchmark. ArXiv preprint arXiv:1609.08675, 2016
2. P. Agrawal, J. Carreira, and J. Malik. Learning to see by moving. In ICCV, 2015
3. Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle, et al. Greedy layer-wise training of deep networks. In NIPS, 2007
4. B. Brattoli, U. Büchler, A.-S. Wahl, M. E. Schwab, and B. Ommer. Lstm self-supervision for detailed behavior analysis
5. J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In CVPR, 2009
6. C. Doersch, A. Gupta, and A. A. Efros. Mid-level visual element discovery as discriminative mode seeking. In NIPS, 2013
7. C. Doersch, A. Gupta, and A. A. Efros. Unsupervised visual representation learning by context prediction. In ICCV, 2015
8. M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. IJCV, 88(2):303-338, 2010
9. B. Fernando, H. Bilen, E. Gavves, and S. Gould. Selfsupervised video representation learning with odd-one-out networks. In CVPR, 2017
10. R. Girshick. Fast r-cnn. In ICCV, 2015
11. G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, 2006
12. S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In ICML, 2015
13. P. Isola, D. Zoran, D. Krishnan, and E. H. Adelson. Learning visual groups from co-occurrences in space and time. In ICLR, Workshop, 2016
14. D. Jayaraman and K. Grauman. Learning image representations tied to ego-motion. In ICCV, 2015
15. D. Jayaraman and K. Grauman. Slow and steady feature analysis: Higher order temporal coherence in video. In CVPR, 2016
16. Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In ACM MM, 2014
17. P. Krähenbühl, C. Doersch, J. Donahue, and T. Darrell. Datadependent initializations of convolutional neural networks. In ICLR, 2015
18. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012
19. H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre. Hmdb: A large video database for human motion recognition. In ICCV, 2011
20. G. Larsson, M. Maire, and G. Shakhnarovich. Learning representations for automatic colorization. In ECCV, 2016
21. Q. V. Le. Building high-level features using large scale unsupervised learning. In ICML, 2012
22. D. Li, W.-C. Hung, J.-B. Huang, S. Wang, N. Ahuja, and M.-H. Yang. Unsupervised visual representation learning by graph-based consistent constraints. In ECCV, 2016
23. G. Long, L. Kneip, J. M. Alvarez, H. Li, X. Zhang, and Q. Yu. Learning image matching by simply watching video. In ECCV, 2016
24. W. Lotter, G. Kreiman, and D. Cox. Deep predictive coding networks for video prediction and unsupervised learning. In ICLR, 2017
25. I. Misra, C. L. Zitnick, and M. Hebert. Shuffle and learn: Unsupervised learning using temporal order verification. In ECCV, 2016
26. H. Mobahi, R. Collobert, and J.Weston. Deep learning from temporal coherence in video. In ICML, 2009
27. M. Noroozi and P. Favaro. Unsupervised learning of visual representations by solving jigsaw puzzles. In ECCV, 2016
28. B. A. Olshausen and D. J. Field. Sparse coding with an overcomplete basis set: A strategy employed by v1 Vision research, 37(23):3311-3325, 1997
29. A. Owens, J. Wu, J. H. McDermott, W. T. Freeman, and A. Torralba. Ambient sound provides supervision for visual learning. In ECCV, 2016
30. D. Pathak, P. Krähenbühl, J. Donahue, T. Darrell, and A. A. Efros. Context encoders: Feature learning by inpainting. In CVPR, 2016
31. S. Purushwalkam and A. Gupta. Pose from action: Unsupervised learning of pose features based on motion. In ECCV, Workshop, 2016
32. R. Raina, A. Battle, H. Lee, B. Packer, and A. Y. Ng. Selftaught learning: Transfer learning from unlabeled data. In ICML, 2007
33. B. C. Russell, W. T. Freeman, A. A. Efros, J. Sivic, and A. Zisserman. Using multiple segmentations to discover objects and their extent in image collections. In CVPR, 2006
34. K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556, 2014
35. S. Singh, A. Gupta, and A. A. Efros. Unsupervised discovery of mid-level discriminative patches. In ECCV, 2012
36. J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, and W. T. Freeman. Discovering objects and their location in images. In ICCV, 2005
37. K. Soomro, A. R. Zamir, and M. Shah. UCF101: A dataset of 101 human actions classes from videos in the wild. ArXiv preprint arXiv:1212.0402, 2012
38. N. Srivastava, E. Mansimov, and R. Salakhutdinov. Unsupervised learning of video representations using lstms. In ICML, 2015
39. J. Sun and J. Ponce. Learning discriminative part detectors for image classification and cosegmentation. In ICCV, 2013
40. C. Vondrick, H. Pirsiavash, and A. Torralba. Generating videos with scene dynamics. In NIPS, 2016
41. X. Wang, A. Farhadi, and A. Gupta. Actions transformations. In CVPR, 2016
42. X.Wang and A. Gupta. Unsupervised learning of visual representations using videos. In CVPR, 2015
43. R. Zhang, P. Isola, and A. A. Efros. Colorful image colorization. In ECCV, 2016
44. R. Zhang, P. Isola, and A. A. Efros. Split-brain autoencoders: Unsupervised learning by cross-channel prediction. In CVPR, 2017.