C. Doersch, A. Gupta, and A. A. Efros, Unsupervised Visual Representation Learning by Context Prediction, 2015 IEEE International Conference on Computer Vision (ICCV), 2015.
DOI : 10.1109/ICCV.2015.167
URL : http://arxiv.org/pdf/1505.05192

N. A. Rasheed and M. J. Nordin, A survey of computer methods in reconstruction of 3d archaeological pottery objects, pp.712-724

N. A. Rasheed and M. J. Nordin, A survey of classification and reconstruction methods for the 2D archaeological objects, 2015 International Symposium on Technology Management and Emerging Technologies (ISTMET), pp.142-147, 2015.
DOI : 10.1109/ISTMET.2015.7359018

J. C. Mcbride and B. B. Kimia, Archaeological Fragment Reconstruction Using Curve-Matching, 2003 Conference on Computer Vision and Pattern Recognition Workshop, 2003.
DOI : 10.1109/CVPRW.2003.10008

F. Jampy, A. Hostein, E. Fauvet, O. Laligant, and F. Truchetet, 3d puzzle reconstruction for archeological fragments, p.3, 2015.
DOI : 10.1117/12.2075655

L. Zhu, Z. Zhou, J. Zhang, and D. Hu, A Partial Curve Matching Method for Automatic Reassembly of 2D Fragments, ICI, vol.345, pp.645-650, 2006.
DOI : 10.1007/978-3-540-37258-5_70

F. Stanco, D. Tanasi, and G. Gallo, Virtual Restoration of Fragmented Glass Plate Photographs of Archaeological Repertoires, Virtual Archaeology Review, vol.2, issue.3, pp.141-144, 2011.
DOI : 10.4995/var.2011.4648
URL : https://polipapers.upv.es/index.php/var/article/download/4648/4772

Z. Hammoudeh and C. Pollett, Clustering-Based, Fully Automated Mixed-Bag Jigsaw Puzzle Solving, Computer Analysis of Images and Patterns, pp.205-217, 2017.
DOI : 10.1109/TPAMI.2007.1163

F. A. Andaló, G. Taubin, and S. Goldenstein, PSQP: Puzzle Solving by Quadratic Programming, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.2, pp.385-396, 2017.
DOI : 10.1109/TPAMI.2016.2547394

C. Lifang, D. Cao, and Y. Liu, A new intelligent jigsaw puzzle algorithm base on mixed similarity and symbol matrix, IJPRAI, vol.32, 2018.

S. Gur and O. Ben-shahar, From Square Pieces to Brick Walls: The Next Challenge in Solving Jigsaw Puzzles, 2017 IEEE International Conference on Computer Vision (ICCV), p.2017
DOI : 10.1109/ICCV.2017.434

M. Noroozi and P. Favaro, Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles, 2015.
DOI : 10.1007/978-3-319-10590-1_53
URL : http://arxiv.org/pdf/1603.09246

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition, 2014.

S. Ioffe, C. Szegedy, V. Nair, and G. C. Hinton, Batch normalization: Accelerating deep network training by reducing internal covariate shift Rectified linear units improve restricted boltzmann machines, 2010.

M. Lin, Q. Chen, and S. Yan, Network in network, 2014.