Mining Discriminative Triplets of Patches for Fine-Grained Classification

Fine-grained classification involves distinguishing between similar sub-categories based on subtle differences in highly localized regions; therefore, accurate localization of discriminative regions remains a major challenge. We describe a patch-based framework to address this problem. We introduce triplets of patches with geometric constraints to improve the accuracy of patch localization, and automatically mine discriminative geometrically-constrained triplets for classification. The resulting approach only requires object bounding boxes. Its effectiveness is demonstrated using four publicly available fine-grained datasets, on which it outperforms or achieves comparable performance to the state-of-the-art in classification

Trendovi radne snage i produktivnosti u Rumunjskoj čeličnoj industriji

When dealing with the issue of increased labour productivity in steel companies, as well as in any other economic sector, managers are faced with a difficult choice – investing in technologies and competencies or diminishing the number of jobs. The economic literature and statistical data available on the Romanian steel industry has revealed that the second option has often been the case in the past 10 years or so. Nevertheless, in order to reach the economic indicators of Westerns countries, the main Romanian steel plants should decrease the number of employees from 18 500 to 8 400. We argue that the accelerated production after the crisis would also entail increased productivity, but the lack of technological advancement and significant investments in competencies will not allow economic efficiency to exceed the average of EU developed member states.Kad je riječ o većoj produktivnosti radne snage u poduzećima čelične industrije, kao i drugih sektora gospodarstva, menadžeri su suočeni s jednim teškim izborom – investirati u tehnologije i kvalificiranost radne snage ili smanjiti broj radnih mjesta. Raspoloživa ekonomska literatura i statistički podaci o rumunjskoj čeličnoj industriji pokazuju da je ova druga opcija često prevladala u posljednjih 10 i više godina. Pa ipak, da bi dosegle gospodarske pokazatelje zapadnih zemalja, glavne rumunjske čeličane trebale bi smanjiti broj zaposlenih od 18.500 na 8.400. Smatramo da bi ubrzana proizvodnja nakon krize ujedno trebala biti popraćena povećanom produktivnošću, ali zbog nedostatka tehnološkog napretka i značajnih ulaganja u kvalificiranost neće biti moguće da ekonomska učinkovitost premaši prosjek razvijenih članica EU

A Variational Formulation of Symplectic Noncommutative Mechanics

The standard lore in noncommutative physics is the use of first order variational description of a dynamical system to probe the space noncommutativity and its consequences in the dynamics in phase space. As the ultimate goal is to understand the inherent space noncommutativity we propose a variational principle for noncommutative dynamical systems in configuration space, based on results of our previous work [14]. We hope that this variational formulation in configuration space can be of help to elucidate the definition of some global and dynamical properties of classical and quantum noncommutative space.Comment: 17 pages, Latex. Accepted for publication in IJGMM

Trendovi radne snage i produktivnosti u Rumunjskoj čeličnoj industriji

When dealing with the issue of increased labour productivity in steel companies, as well as in any other economic sector, managers are faced with a difficult choice – investing in technologies and competencies or diminishing the number of jobs. The economic literature and statistical data available on the Romanian steel industry has revealed that the second option has often been the case in the past 10 years or so. Nevertheless, in order to reach the economic indicators of Westerns countries, the main Romanian steel plants should decrease the number of employees from 18 500 to 8 400. We argue that the accelerated production after the crisis would also entail increased productivity, but the lack of technological advancement and significant investments in competencies will not allow economic efficiency to exceed the average of EU developed member states.Kad je riječ o većoj produktivnosti radne snage u poduzećima čelične industrije, kao i drugih sektora gospodarstva, menadžeri su suočeni s jednim teškim izborom – investirati u tehnologije i kvalificiranost radne snage ili smanjiti broj radnih mjesta. Raspoloživa ekonomska literatura i statistički podaci o rumunjskoj čeličnoj industriji pokazuju da je ova druga opcija često prevladala u posljednjih 10 i više godina. Pa ipak, da bi dosegle gospodarske pokazatelje zapadnih zemalja, glavne rumunjske čeličane trebale bi smanjiti broj zaposlenih od 18.500 na 8.400. Smatramo da bi ubrzana proizvodnja nakon krize ujedno trebala biti popraćena povećanom produktivnošću, ali zbog nedostatka tehnološkog napretka i značajnih ulaganja u kvalificiranost neće biti moguće da ekonomska učinkovitost premaši prosjek razvijenih članica EU

Learning Rich Features for Image Manipulation Detection

Image manipulation detection is different from traditional semantic object detection because it pays more attention to tampering artifacts than to image content, which suggests that richer features need to be learned. We propose a two-stream Faster R-CNN network and train it endto- end to detect the tampered regions given a manipulated image. One of the two streams is an RGB stream whose purpose is to extract features from the RGB image input to find tampering artifacts like strong contrast difference, unnatural tampered boundaries, and so on. The other is a noise stream that leverages the noise features extracted from a steganalysis rich model filter layer to discover the noise inconsistency between authentic and tampered regions. We then fuse features from the two streams through a bilinear pooling layer to further incorporate spatial co-occurrence of these two modalities. Experiments on four standard image manipulation datasets demonstrate that our two-stream framework outperforms each individual stream, and also achieves state-of-the-art performance compared to alternative methods with robustness to resizing and compression.Comment: CVPR 2018 Camera Read