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Pregled bibliografske jedinice broj: 809171

Patch-level Spatial Layout for Classification and Weakly Supervised Localization


Zadrija, Valentina; Krapac, Josip; Verbeek, Jakob; Šegvić, Siniša
Patch-level Spatial Layout for Classification and Weakly Supervised Localization // Pattern Recognition ; 37th German Conference, GCPR 2015 Aachen, Germany, October 7–10, 2015 Proceedings. Lecture Notes in Computer Science vol. 9358, ISSN 0302-974. / Gall, Juergen ; Gehler, Peter ; Leibe, Bastian (ur.).
Cham: Springer, 2016. str. 492-503 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 809171 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Patch-level Spatial Layout for Classification and Weakly Supervised Localization

Autori
Zadrija, Valentina ; Krapac, Josip ; Verbeek, Jakob ; Šegvić, Siniša

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Pattern Recognition ; 37th German Conference, GCPR 2015 Aachen, Germany, October 7–10, 2015 Proceedings. Lecture Notes in Computer Science vol. 9358, ISSN 0302-974. / Gall, Juergen ; Gehler, Peter ; Leibe, Bastian - Cham : Springer, 2016, 492-503

ISBN
978-3-319-24946-9

Skup
German Conference on Pattern Recognition

Mjesto i datum
Aachen, Njemačka, 7–10.10.2015

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
object localization; weak supervision; Fisher vectors.

Sažetak
We propose a discriminative patch-level model which combines appearance and spatial layout cues. We start from a block-sparse model of patch appearance based on the normalized Fisher vector representation. The appearance model is responsible for i) selecting a discriminative subset of visual words, and ii) identifying distinctive patches assigned to the selected subset. These patches are further filtered by a sparse spatial model operating on a novel representation of pairwise patch layout. We have evaluated the proposed pipeline in image classification and weakly supervised localization experiments on a public traffic sign dataset. The results show significant advantage of the combined model over state of the art appearance models.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
HRZZ MULTICLOD

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Josip Krapac (autor)

Avatar Url Valentina Zadrija (autor)

Avatar Url Siniša Šegvić (autor)

Citiraj ovu publikaciju:

Zadrija, Valentina; Krapac, Josip; Verbeek, Jakob; Šegvić, Siniša
Patch-level Spatial Layout for Classification and Weakly Supervised Localization // Pattern Recognition ; 37th German Conference, GCPR 2015 Aachen, Germany, October 7–10, 2015 Proceedings. Lecture Notes in Computer Science vol. 9358, ISSN 0302-974. / Gall, Juergen ; Gehler, Peter ; Leibe, Bastian (ur.).
Cham: Springer, 2016. str. 492-503 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Zadrija, V., Krapac, J., Verbeek, J. & Šegvić, S. (2016) Patch-level Spatial Layout for Classification and Weakly Supervised Localization. U: Gall, J., Gehler, P. & Leibe, B. (ur.)Pattern Recognition ; 37th German Conference, GCPR 2015 Aachen, Germany, October 7–10, 2015 Proceedings. Lecture Notes in Computer Science vol. 9358, ISSN 0302-974..
@article{article, author = {Zadrija, Valentina and Krapac, Josip and Verbeek, Jakob and \v{S}egvi\'{c}, Sini\v{s}a}, year = {2016}, pages = {492-503}, keywords = {object localization, weak supervision, Fisher vectors.}, isbn = {978-3-319-24946-9}, title = {Patch-level Spatial Layout for Classification and Weakly Supervised Localization}, keyword = {object localization, weak supervision, Fisher vectors.}, publisher = {Springer}, publisherplace = {Aachen, Njema\v{c}ka} }
@article{article, author = {Zadrija, Valentina and Krapac, Josip and Verbeek, Jakob and \v{S}egvi\'{c}, Sini\v{s}a}, year = {2016}, pages = {492-503}, keywords = {object localization, weak supervision, Fisher vectors.}, isbn = {978-3-319-24946-9}, title = {Patch-level Spatial Layout for Classification and Weakly Supervised Localization}, keyword = {object localization, weak supervision, Fisher vectors.}, publisher = {Springer}, publisherplace = {Aachen, Njema\v{c}ka} }




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