1,721,750 research outputs found
Where Did i See It? Object Instance Re-Identification with Attention
No full textExisting methods dealing with object instance re-identification (OIRe-ID) look for the best visual features match of a target object within a set of frames. Due to the nature of the problem, relying only on the visual appearance of object instances is likely to provide many false matches when there are multiple objects with similar appearance or multiple instances of same object class present in the scene. We focus on a rigid scene setup and to limit the negative effects of the aforementioned cases, we propose to exploit the background information. We believe that this would be particularly helpful in a rigid environment with a lot of reoccurring identical models of objects since it would provide rich context information. We introduce an attention-based mechanism to the existing Mask R-CNN architecture such that we learn to encode the important and distinct information in the background jointly with the foreground features relevant to rigid real-world scenarios. To evaluate the proposed approach, we run compelling experiments on the ScanNet dataset. Results demonstrate that we outperform significantly compared to different baselines and SOTA methods
Cloth-Changing Person Re-identification with Self-Attention
No full textThe basic assumption in the standard person reidentification (ReID) problem is that the clothing of the target person IDs would remain constant over long periods. This assumption creates errors during real-world implementations. In addition, most of the methods that handle ReID use CNN-based networks and have found limited success because CNNs can exploit only local dependencies and suffer the loss of information due to the use of downsampling operations. In this paper, we focus on a more challenging, realistic scenario of long-term cloth-changing ReID (CC-ReID). We aim to learn robust and unique feature representations that are invariant to clothing changes to address the CC-ReID problem. To overcome the limitations faced by CNNs, we propose a Vision-transformer-based framework. We also propose to intuitively exploit the unique soft-biometric-based discriminative information such as gait features and pair them with ViT feature representation for allowing the model to generate long-range structural and contextual relationships that are crucial for re-identification task in the long-term scenario. To evaluate the proposed approach, we perform experiments on two recent CC-ReID datasets, PRCC and LTCC. The experimental results show that the proposed approach achieves state-of-the-art results on the CC-ReID task
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Spatio-Temporal Attention for Cloth-Changing ReID in Videos
No full textIn the recent past, the focus of the research community in the field of person re-identification (ReID) has gradually shifted towards video-based ReID where the goal is to identify and associate specific person identities from videos captured by different cameras at different times. A key challenge is to effectively model spatial and temporal information for robust and discrimintative video feature representation. Another challenge arises from the assumption that the clothing of the target persons would remain consistent over long periods of time and thus, most of the existing methods rely on clothing appearance for re-identification. Such assumptions lead to errors in practical scenarios where clothing consistency does not hold true. An additional challenge comes in the form of limitations faced by existing methods that largely employ CNN-based networks since CNNs can only exploit local dependencies and lose significant information due to downsampling operations employed. To overcome all these challenges, we propose a Vision-transformer-based framework exploring space-time self-attention to address the problem of long-term cloth-changing ReID in videos (CCVID-ReID). For more unique discriminative representation, we believe that soft-biometric information such as gait features can be paired with the video features from the transformer-based framework. For getting such rich dynamic information, we use an existing state-of-the-art model for 3D motion estimation, VIBE. To provide compelling evidence in favour of our approach of utilizing spatio-temporal information to address CCVID-ReID, we evaluate our method on a variant of recently published long-term cloth-changing ReID dataset, PRCC. The experiments demonstrate the proposed approach achieves state-of-the-art results which, we believe, will invite further focus in this direction
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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