{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T12:26:59Z","timestamp":1790339219693,"version":"4.1.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,3,2]],"date-time":"2018-03-02T00:00:00Z","timestamp":1519948800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s11042-018-5798-7","type":"journal-article","created":{"date-parts":[[2018,3,2]],"date-time":"2018-03-02T04:04:47Z","timestamp":1519963487000},"page":"2747-2764","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Object instance identification with fully convolutional networks"],"prefix":"10.1007","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0251-2574","authenticated-orcid":false,"given":"Maxime","family":"Portaz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Kohl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Pierre","family":"Chevallet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georges","family":"Qu\u00e9not","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philippe","family":"Mulhem","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,3,2]]},"reference":[{"key":"5798_CR1","doi-asserted-by":"crossref","unstructured":"Arandjelovi\u0107 R, Zisserman A (2012) Three things everyone should know to improve object retrieval. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 2911\u20132918. http:\/\/ieeexplore.ieee.org\/abstract\/document\/6248018\/","DOI":"10.1109\/CVPR.2012.6248018"},{"key":"5798_CR2","doi-asserted-by":"crossref","unstructured":"Arandjelovic R, Gronat P, Torii A, Pajdla T, Sivic J (2016) Netvlad: Cnn architecture for weakly supervised place recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5297\u20135307","DOI":"10.1109\/CVPR.2016.572"},{"key":"5798_CR3","unstructured":"Babenko A, Lempitsky V (2015) Aggregating local deep features for image retrieval. In: Proceedings of the IEEE international conference on computer vision, pp 1269\u20131277"},{"key":"5798_CR4","doi-asserted-by":"crossref","unstructured":"Babenko A, Slesarev A, Chigorin A, Lempitsky V (2014) Neural codes for image retrieval. In: European conference on computer vision. Springer, pp 584\u2013599","DOI":"10.1007\/978-3-319-10590-1_38"},{"issue":"2","key":"5798_CR5","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/MM.2003.1196112","volume":"23","author":"LA Barroso","year":"2003","unstructured":"Barroso LA, Dean J, Holzle U (2003) Web search for a planet: the google cluster architecture. IEEE Micro 23(2):22\u201328","journal-title":"IEEE Micro"},{"key":"5798_CR6","doi-asserted-by":"crossref","unstructured":"Bromley J, Guyon I, LeCun Y, S\u00e4ckinger E, Shah R (1994) Signature verification using a \u201csiamese\u201d time delay neural network. In: Advances in neural information processing systems, pp 737\u2013744","DOI":"10.1142\/9789812797926_0003"},{"key":"5798_CR7","unstructured":"Fischer P, Dosovitskiy A, Brox T (2014) Descriptor matching with convolutional neural networks: a comparison to sift. arXiv: 1405.5769"},{"key":"5798_CR8","doi-asserted-by":"crossref","unstructured":"Gong Y, Wang L, Guo R, Lazebnik S (2014) Multi-scale orderless pooling of deep convolutional activation features. In: European conference on computer vision. Springer, pp 392\u2013407","DOI":"10.1007\/978-3-319-10584-0_26"},{"key":"5798_CR9","doi-asserted-by":"crossref","unstructured":"Gordo A, Almaz\u00e1n J, Revaud J, Larlus D (2016) Deep image retrieval: learning global representations for image search. In: Computer vision \u2013 ECCV 2016. Springer, Cham, pp 241\u2013257","DOI":"10.1007\/978-3-319-46466-4_15"},{"key":"5798_CR10","unstructured":"Gordo A, Almazan J, Revaud J, Larlus D (2016) End-to-end learning of deep visual representations for image retrieval. arXiv: 1610.07940"},{"key":"5798_CR11","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"5798_CR12","doi-asserted-by":"crossref","unstructured":"Jegou H, Douze M, Schmid C (2008) Hamming embedding and weak geometric consistency for large scale image search. In: European conference on computer vision. Springer, Berlin, Heidelberg, pp 304\u2013317","DOI":"10.1007\/978-3-540-88682-2_24"},{"key":"5798_CR13","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. In: Pereira F, Burges CJC, Bottou L, Weinberger KQ (eds) Advances in neural information processing systems 25. Curran Associates, Inc., pp 1097\u20131105. http:\/\/papers.nips.cc\/paper\/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf"},{"key":"5798_CR14","doi-asserted-by":"crossref","unstructured":"Long J, Shelhamer E, Darrell T (2015) Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3431\u20133440","DOI":"10.1109\/CVPR.2015.7298965"},{"issue":"2","key":"5798_CR15","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91\u2013110","journal-title":"Int J Comput Vis"},{"key":"5798_CR16","doi-asserted-by":"crossref","unstructured":"Paulin M, Douze M, Harchaoui Z, Mairal J, Perronin F, Schmid C (2015) Local convolutional features with unsupervised training for image retrieval. In: Proceedings of the IEEE international conference on computer vision, pp 91\u201399","DOI":"10.1109\/ICCV.2015.19"},{"key":"5798_CR17","doi-asserted-by":"crossref","unstructured":"Perronnin F, Dance C (2007) Fisher kernels on visual vocabularies for image categorization. In: IEEE conference on computer vision and pattern recognition, 2007. CVPR\u201907. IEEE, pp 1\u20138","DOI":"10.1109\/CVPR.2007.383266"},{"key":"5798_CR18","doi-asserted-by":"crossref","unstructured":"Philbin J, Chum O, Isard M, Sivic J, Zisserman A (2007) Object retrieval with large vocabularies and fast spatial matching. In: IEEE conference on computer vision and pattern recognition, 2007. CVPR\u201907. IEEE, pp 1\u20138. http:\/\/ieeexplore.ieee.org\/abstract\/document\/4270197\/","DOI":"10.1109\/CVPR.2007.383172"},{"key":"5798_CR19","doi-asserted-by":"crossref","unstructured":"Philbin J, Chum O, Isard M, Sivic J, Zisserman A (2008) Lost in quantization: improving particular object retrieval in large scale image databases. In: IEEE conference on computer vision and pattern recognition, 2008. CVPR 2008. IEEE, pp 1\u20138. http:\/\/ieeexplore.ieee.org\/abstract\/document\/4587635\/","DOI":"10.1109\/CVPR.2008.4587635"},{"key":"5798_CR20","unstructured":"Portaz M, Poignant J, Budnik M, Mulhem P, Chevallet J, Goeuriot L (2017) Construction et \u00e9valuation d\u2019un corpus pour la recherche d\u2019instances d\u2019images mus\u00e9ales. In: COnf\u00e9rence en recherche d\u2019informations et applications - CORIA 2017, 14th French information retrieval conference. Marseille, France, March 29\u201331, 2017. Proceedings, Marseille, France, March 29\u201331, 2017, pp 17\u201334"},{"key":"5798_CR21","doi-asserted-by":"crossref","unstructured":"Radenovi\u0107 F, Tolias G, Chum O (2016) CNN image retrieval learns from BoW: unsupervised fine-tuning with hard examples. In: Computer vision \u2013 ECCV 2016. Springer, Cham, pp 3\u201320","DOI":"10.1007\/978-3-319-46448-0_1"},{"issue":"3","key":"5798_CR22","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky O, Deng J, Su H, Krause J, Satheesh S, Ma S, Huang Z, Karpathy A, Khosla A, Bernstein M, Berg AC, Fei-Fei L (2015) ImageNet large scale visual recognition challenge. Int J Comput Vis 115(3):211\u2013252. https:\/\/doi.org\/10.1007\/s11263-015-0816-y","journal-title":"Int J Comput Vis"},{"key":"5798_CR23","doi-asserted-by":"crossref","unstructured":"Salvador A, Giro-i Nieto X, Marques F, Satoh S (2016) Faster r-CNN Features for Instance Search. arXiv: 1604.08893 [cs]","DOI":"10.1109\/CVPRW.2016.56"},{"key":"5798_CR24","doi-asserted-by":"crossref","unstructured":"Schroff F, Kalenichenko D, Philbin J (2015) Facenet: a unified embedding for face recognition and clustering. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 815\u2013823","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"5798_CR25","unstructured":"Sharif Razavian A, Azizpour H, Sullivan J, Carlsson S (2014) Cnn features off-the-shelf: an astounding baseline for recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 806\u2013813"},{"key":"5798_CR26","unstructured":"Simo-Serra E, Trulls E, Ferraz L, Kokkinos I, Moreno-Noguer F (2014) Fracking deep convolutional image descriptors. arXiv: 1412.6537"},{"key":"5798_CR27","doi-asserted-by":"crossref","unstructured":"Sivic J, Zisserman A et al. (2003) Video google: a text retrieval approach to object matching in videos. In: iccv, vol 2, pp 1470\u20131477","DOI":"10.1109\/ICCV.2003.1238663"},{"key":"5798_CR28","unstructured":"Tolias G, Sicre R, J\u00e9gou H (2015) Particular object retrieval with integral max-pooling of CNN activations. arXiv: 1511.05879 [cs]"},{"key":"5798_CR29","doi-asserted-by":"crossref","unstructured":"Turcot P, Lowe DG (2009) Better matching with fewer features: the selection of useful features in large database recognition problems. In: 2009 IEEE 12th international conference on computer vision workshops (ICCV Workshops). IEEE, pp 2109\u20132116. http:\/\/ieeexplore.ieee.org\/abstract\/document\/5457541\/","DOI":"10.1109\/ICCVW.2009.5457541"},{"key":"5798_CR30","unstructured":"Yosinski J, Clune J, Bengio Y, Lipson H (2014) How transferable are features in deep neural networks? arXiv: 1411.1792 [cs]"},{"issue":"1\u201332","key":"5798_CR31","first-page":"2","volume":"17","author":"J Zbontar","year":"2016","unstructured":"Zbontar J, LeCun Y (2016) Stereo matching by training a convolutional neural network to compare image patches. J Mach Learn Res 17(1\u201332):2","journal-title":"J Mach Learn Res"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-5798-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5798-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5798-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T00:23:29Z","timestamp":1570839809000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-5798-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,2]]},"references-count":31,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["5798"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-5798-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,2]]},"assertion":[{"value":"3 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 March 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}