Zero-Shot Object Detection by Hybrid Region Embedding

Object detection is considered as one of the most challenging problems in computer vision, since it requires correct prediction of both classes and locations of objects in images. In this study, we define a more difficult scenario, namely zero-shot object detection (ZSD) where no visual training data is available for some of the target object classes. We present a novel approach to tackle this ZSD problem, where a convex combination of embeddings are used in conjunction with a detection framework. For evaluation of ZSD methods, we propose a simple dataset constructed from Fashion-MNIST images and also a custom zero-shot split for the Pascal VOC detection challenge. The experimental results suggest that our method yields promising results for ZSD

Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning

We propose a novel approach for unsupervised zero-shot learning (ZSL) of classes based on their names. Most existing unsupervised ZSL methods aim to learn a model for directly comparing image features and class names. However, this proves to be a difficult task due to dominance of non-visual semantics in underlying vector-space embeddings of class names. To address this issue, we discriminatively learn a word representation such that the similarities between class and combination of attribute names fall in line with the visual similarity. Contrary to the traditional zero-shot learning approaches that are built upon attribute presence, our approach bypasses the laborious attribute-class relation annotations for unseen classes. In addition, our proposed approach renders text-only training possible, hence, the training can be augmented without the need to collect additional image data. The experimental results show that our method yields state-of-the-art results for unsupervised ZSL in three benchmark datasets.Comment: To appear at IEEE Int. Conference on Computer Vision (ICCV) 201

Ethnic Discrimination and Psychological Distress among Middle Eastern/Arab Americans: The Roles of Religiosity, Coping, Ethnic Identity, and Family Connectedness

Despite increased public attention in the past decade towards the Middle East and Arab world, only a small but growing body of research literature investigating the mental health of individuals with ethnic background originating in these countries exists. Given the major stigma associated with being Middle Eastern/Arab (MEA) in the United States, the mental health-related implications for MEA Americans is of particular interest in the present study. Specifically, we investigated (1) the moderating role of religiosity in the link between religious affiliation and ethnic discrimination and (2) potential mediators (coping via internalization, detachment, and drugs/alcohol) and moderators (ethnic identity and family connectedness) in the relationship between ethnic discrimination and psychological distress among 122 MEA Americans. We found that Muslim identification predicted ethnic discrimination for MEAs with high but not low religiosity. In addition, higher levels of ethnic discrimination and more coping with discrimination via internalization, detachment, and drugs and alcohol were uniquely related to higher levels of psychological distress. Finally, family connectedness buffered the link between discrimination and coping via internalization. Future research directions and clinical implications are discussed

A Qualitative Study of Middle Eastern/Arab American Sexual Identity Development

The development of one’s sexual minority identity is a major part of sexual minority persons’ lives, but unfortunately one that is often stunted by a heterosexist society. For individuals with multiple minority oppressions, the formation of a sexual minority identity becomes even more complicated. As such, there has been a call among researchers for more empirical research on the experiences of LGB individuals from racial/ethnic minority groups. The present study uses qualitative methods to fill some of the gaps in the literature related to identity development among same-gender attracted Middle Eastern/Arab individuals living in the United States (US). From 12 interviews, thirteen themes associated with the following issues emerged: intersectionality, race/ethnicity, sexual identity development, discrimination, stigma, oppression, sexual orientation disclosure, and invisibility. Themes, subthemes, and their implications are discussed

Histogram of oriented rectangles: A new pose descriptor for human action recognition

Cataloged from PDF version of article.Most of the approaches to human action recognition tend to form complex models which require lots of parameter estimation and computation time. In this study, we show that, human actions can be simply represented by pose without dealing with the complex representation of dynamics. Based on this idea, we propose a novel pose descriptor which we name as Histogram-of-Oriented-Rectangles (HOR) for representing and recognizing human actions in videos. We represent each human pose in an action sequence by oriented rectangular patches extracted over the human silhouette. We then form spatial oriented histograms to represent the distribution of these rectangular patches. We make use of several matching strategies to carry the information from the spatial domain described by the HOR descriptor to temporal domain. These are (i) nearest neighbor classification, which recognizes the actions by matching the descriptors of each frame, (ii) global histogramming, which extends the idea of Motion Energy Image proposed by Bobick and Davis to rectangular patches, (iii) a classifier-based approach using Support Vector Machines, and (iv) adaptation of Dynamic Time Warping on the temporal representation of the HOR descriptor. For the cases when pose descriptor is not sufficiently strong alone, such as to differentiate actions "jogging" and "running", we also incorporate a simple velocity descriptor as a prior to the pose based classification step. We test our system with different configurations and experiment on two commonly used action datasets: the Weizmann dataset and the KTH dataset. Results show that our method is superior to other methods on Weizmann dataset with a perfect accuracy rate of 100%, and is comparable to the other methods on KTH dataset with a very high success rate close to 90%. These results prove that with a simple and compact representation, we can achieve robust recognition of human actions, compared to complex representations. (C) 2009 Elsevier B.V. All rights reserved

2-(1H-Tetra­zol-5-yl)benzonitrile

The title compound, C8H5N5, was synthesized from phthalonitrile. The benzonitrile and tetra­zole rings are inclined at a dihedral angle of 37.14 (11)°. In the crystal structure, inter­molecular N—H⋯N hydrogen bonds link the tetra­zole rings of adjacent mol­ecules, forming chains along the a axis

Results of a novel screening tool measuring dietary sodium knowledge in patients with chronic kidney disease.

BackgroundReducing dietary sodium has potential to benefit patients with chronic kidney disease (CKD). Little research is available defining dietary sodium knowledge gaps in patients with pre-dialysis CKD. We designed a brief screening tool to rapidly identify patient knowledge gaps related to dietary sodium for patients with CKD not yet on dialysis.MethodsA Short Sodium Knowledge Survey (SSKS) was developed and administered to patients with pre-dialysis CKD. We also asked patients if they received counseling on dietary sodium reduction and about recommended intake limits. We performed logistic regression to examine the association between sodium knowledge and patient characteristics. Characteristics of patients who answered all SSKS questions correctly were compared to those who did not.ResultsOne-hundred fifty-five patients were surveyed. The mean (SD) age was 56.6 (15.1) years, 84 (54%) were men, and 119 (77%) were white. Sixty-seven patients (43.2%) correctly identified their daily intake sodium limit. Fifty-eight (37.4%) were unable to answer all survey questions correctly. In analysis adjusted for age, sex, race, education, health literacy, CKD stage, self-reported hypertension and attendance in a kidney education class, women and patients of non-white race had lower odds of correctly answering survey questions (0.36 [0.16,0.81]; p = 0.01 women versus men and 0.33 [0.14,0.76]; p = 0.01 non-white versus white, respectively).ConclusionsOur survey provides a mechanism to quickly identify dietary sodium knowledge gaps in patients with CKD. Women and patients of non-white race may have knowledge barriers impeding adherence to sodium reduction advice