Group invariant deep representations for image instance retrieval

AAAI Spring Symposium - Technical Report

Volumn SS-17-01 - SS-17-08, Issue , 2017, Pages 603-607

  Morère, Olivier ^a,b   Veillard, Antoine ^a   Lin, Jie ^b   Petta, Julie ^c   Chandrasekhar, Vijay ^b   Poggio, Tomaso ^d  

^a SORBONNE UNIVERSITÉ   (France)

^b Institute for Infocomm Research   (France)

^c CENTRALESUPÉLEC   (France)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FEEDFORWARD NEURAL NETWORKS; LEARNING SYSTEMS; MACHINE ORIENTED LANGUAGES; QUERY PROCESSING;

EMPIRICAL EVALUATIONS; GLOBAL DESCRIPTORS; IMAGE DESCRIPTORS; INSTANCE RETRIEVAL; MATHEMATICAL THEORY; OBJECT TRANSFORMATION; RETRIEVAL PERFORMANCE; TRANSFORMATION GROUP;

COMPUTATION THEORY;

EID: 85028697851     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Anselmi, F.; Leibo, J. Z.; Rosasco, L.; Mutch, J.; Tacchetti, A.; and Poggio, T.2013. Unsupervised learning of invariant representations in hierarchical architectures. arXiv.1311.4158.
2. Babenko, A.; Slesarev, A.; Chigorin, A.; and Lempitsky, V.2014. Neural Codes for Image Retrieval. In Proceedings of European Conference on Computer Vision (ECCV).
3. Chandrasekhar, V; Jie, L.; Morere, O.; Goh, H.; and Veillard, A.2016. A practical guide to cnns and fisher vectors for image instance retrieval. Signal Processing.
4. Jégou, H., and Zisserman, A. 2014. Triangulation embedding and democratic aggregation for image search. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 3310-3317. IEEE.
5. Lin, J.; Morère, O.; Chandrasekhar, V.; Veillard, A.; and Goh, H.2015. Deephash: Getting regularization, depth and fine-tuning right. CoRR abs/1501.04711.
6. Perronnin, F.; Liu, Y.; Sanchez, J.; and Poirier, H.2010. Large-scale Image Retrieval with Compressed Fisher Vectors. In Computer Vision and Pattern Recognition (CVPR), 3384-3391.
7. Sharif Razavian, A.; Sullivan, J.; Maki, A.; and Carlsson, S.2015. A baseline for visual instance retrieval with deep convolutional networks. In International Conference on Learning Representations, May 7-9, 2015, San Diego, CA. ICLR.
8. Spyromitros-Xioufis, E.; Papadopoulos, S.; Kompatsiaris, I. Y.; Tsoumakas, G.; and Vlahavas, I.2014. A comprehensive study over vlad and product quantization in large-scale image retrieval. Multimedia, IEEE Transactions on 16(6): 1713-1728.