Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Weakly Supervised Object Localization with Large Fisher Vectors (CROSBI ID 623597)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Krapac, Josip ; Šegvić, Siniša Weakly Supervised Object Localization with Large Fisher Vectors // Proceedings of the 10th International Conference on Computer Vision Theory and Applications / Jose Braz, Sebastiano Battiato and Francisco Imai (ur.). Berlin: Jose Braz, Sebastiano Battiato and Francisco Imai, 2015. str. 1-10

Podaci o odgovornosti

Krapac, Josip ; Šegvić, Siniša

engleski

Weakly Supervised Object Localization with Large Fisher Vectors

We propose a novel method for learning object localization models in a weakly supervised manner, by employing images annotated with object class labels but not with object locations. Given an image, the learned model predicts both the presence of the object class in the image and the bounding box that determines the object location. The main ingredients of our method are a large Fisher vector representation and a sparse classification model enabling efficient evaluation of patch scores. The method is able to reliably detect very small objects with some intra-class variation in reasonable time. Experimental validation has been performed on a public dataset and we report localization performance comparable to strongly supervised approaches.

Weakly Supervised Object Localization; Fisher Vectors; Sparse Classification Models.

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

1-10.

2015.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 10th International Conference on Computer Vision Theory and Applications

Jose Braz, Sebastiano Battiato and Francisco Imai

Berlin: Jose Braz, Sebastiano Battiato and Francisco Imai

978-989-758-089-5

Podaci o skupu

10th International Conference on Computer Vision Theory and Applications

predavanje

11.03.2015-14.03.2015

Berlin, Njemačka

Povezanost rada

Računarstvo