265 research outputs found

    Unsupervised Adversarial Depth Estimation using Cycled Generative Networks

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    While recent deep monocular depth estimation approaches based on supervised regression have achieved remarkable performance, costly ground truth annotations are required during training. To cope with this issue, in this paper we present a novel unsupervised deep learning approach for predicting depth maps and show that the depth estimation task can be effectively tackled within an adversarial learning framework. Specifically, we propose a deep generative network that learns to predict the correspondence field i.e. the disparity map between two image views in a calibrated stereo camera setting. The proposed architecture consists of two generative sub-networks jointly trained with adversarial learning for reconstructing the disparity map and organized in a cycle such as to provide mutual constraints and supervision to each other. Extensive experiments on the publicly available datasets KITTI and Cityscapes demonstrate the effectiveness of the proposed model and competitive results with state of the art methods. The code and trained model are available on https://github.com/andrea-pilzer/unsup-stereo-depthGAN.Comment: To appear in 3DV 2018. Code is available on GitHu

    Viraliency: Pooling Local Virality

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    In our overly-connected world, the automatic recognition of virality - the quality of an image or video to be rapidly and widely spread in social networks - is of crucial importance, and has recently awaken the interest of the computer vision community. Concurrently, recent progress in deep learning architectures showed that global pooling strategies allow the extraction of activation maps, which highlight the parts of the image most likely to contain instances of a certain class. We extend this concept by introducing a pooling layer that learns the size of the support area to be averaged: the learned top-N average (LENA) pooling. We hypothesize that the latent concepts (feature maps) describing virality may require such a rich pooling strategy. We assess the effectiveness of the LENA layer by appending it on top of a convolutional siamese architecture and evaluate its performance on the task of predicting and localizing virality. We report experiments on two publicly available datasets annotated for virality and show that our method outperforms state-of-the-art approaches.Comment: Accepted at IEEE CVPR 201

    Communities in university mathematics

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    This paper concerns communities of learners and teachers that are formed, develop and interact in university mathematics environments through the theoretical lens of Communities of Practice. From this perspective, learning is described as a process of participation and reification in a community in which individuals belong and form their identity through engagement, imagination and alignment. In addition, when inquiry is considered as a fundamental mode of participation, through critical alignment, the community becomes a Community of Inquiry. We discuss these theoretical underpinnings with examples of their application in research in university mathematics education and, in more detail, in two Research Cases which focus on mathematics students' and teachers' perspectives on proof and on engineering students' conceptual understanding of mathematics. The paper concludes with a critical reflection on the theorising of the role of communities in university level teaching and learning and a consideration of ways forward for future research

    The League of Nations and the Jews of Europe: 1919-1939

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    Assessing use of passive acoustic detection to document behavior of two sympatric pomacentrid species

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    Videotape and audio recordings of a patch reef in Ant Atoll, Pohnpei, Micronesia were analyzed for the presence of bioacoustic activity produced by species of the teleost family Pomacentridae. The acoustic parameters of fish calls were measured and then identified as belonging to either Amphiprion melanopus or Stegastes nigricans. Visual and statistical methods of analysis were combined to compare the calls of the two species and to test for measurable differences in the acoustic parameters of their calls. Soundscape data showed similar patterns to previously observed tropical reef environments. Fish produced single or multi-pulsed calls in the frequency range of 0-1000 Hz that were often accompanied by observable behaviors such as a chases and displays of dominance. Results indicated that the species on this atoll produce similar calls that cannot be distinguished using acoustic data alone. Visual confirmation was necessary for definitive identification of sound producers and in many cases was not possible beyond the family level. Implications for passive acoustic monitoring are that acoustic data collection alone may be able to capture fish abundance but may not be sufficient to fully capture species richness in regions where populations of closely related fish have similar signals

    Vom Bibliotheksgesetz zum Kulturfördergesetz. Neue Wege der Kulturpolitik in Nordrhein-Westfalen? Eine Kurzbetrachtung.

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    Der Landtag Nordrhein-Westfalen hat im Sommer 2011 mit seiner Mehrheit der regierenden Koalition aus SPD und Bündnis90/Die Grünen den im Herbst 2010 von der Fraktion der CDU eingebrachten Entwurf eines Bibliotheksgesetzes zugunsten eines allgemeinen Kulturfördergesetzes zurückgestellt. Wenn dessen politische Implikationen es waren, nicht nur die Landeskulturpolitik auf eine eigengesetzliche Grundlage zu stellen, sondern zugleich in den Städten und Gemeinden einen Pflichtteil an Kulturleistungen zu begründen, was seine besondere Bedeutung in den zahlreichen Haushaltssicherungskommunen hätte entfalten können, dann ist diese Intention der Kulturpolitik nicht erfüllt worden. Unerfüllt geblieben ist zudem die eigengesetzliche Regelung für die Bibliotheken; der aktuelle Entwurf zu einem Kulturfördergesetz (KFG) aus dem Mai 2014 behandelt nur die Förderpolitik des Landes und bestimmte Instrumente zur Beförderung der kulturpolitischen Diskussion. In summer 2011, the Landtag of North Rhine-Westphalia, with a majority of the governing coalition of SPD and Bündnis90/Die Grünen, returned the draft library law, which had been proposed by the oppositional CDU in the preceding fall 2010, in favor of a general law for culture promotion. If the political implications were to provide not only a distinct legal basis for the federal state’s cultural policy, but also to establish certain compulsory cultural services in the North Rhine-Westphalian cities and municipalities, which is especially important for the numerous municipalities with budget cuts, then this intention of cultural policy has not been met. There is also still no intrinsic legislation for libraries, as the current draft of a Culture Promotion Act from May 2014 deals only with the funding policy of the federal state and with certain instruments for the promotion of cultural matters and affairs within the political discussion

    Self‐reported drug allergy in a general adult Portuguese population

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    Clin Exp Allergy. 2004 Oct;34(10):1597-601. Self-reported drug allergy in a general adult Portuguese population. Gomes E, Cardoso MF, Praça F, Gomes L, Mariño E, Demoly P. Serviço de Imunoalergologia, Hospital Maria Pia, Porto, Portugal. [email protected] Abstract AIM: To estimate the prevalence of self-reported drug allergy in adults. METHODS: Cross-sectional survey of a general adult population from Porto (all of whom were living with children involved in the International Study of Asthma and Allergies in Childhood-phase three), during the year 2002, using a self-administered questionnaire. RESULTS: The prevalence of self-reported drug allergy was 7.8% (181/2309): 4.5% to penicillins or other beta-lactams, 1.9% to aspirin or other non-steroidal anti-inflammatory drugs (NSAIDs) and 1.5% to other drugs. In the group 'allergic to beta-lactams', the most frequently implicated drug was penicillin G or V (76.2%) followed by the association of amoxicillin and clavulanic acids (14.3%). In the group 'allergic to NSAIDs', acetylsalicylic acid (18.2%) and ibuprofen (18.2%) were the most frequently identified drugs, followed by nimesulide and meloxicam. Identification of the exact name of the involved drug was possible in less than one-third of the patients, more often within the NSAID group (59.5%). Women were significantly more likely to claim a drug allergy than men (10.2% vs. 5.3%). The most common manifestations were cutaneous (63.5%), followed by cardiovascular symptoms (35.9%). Most of the reactions were immediate, occurring on the first day of treatment (78.5%). Only half of the patients were submitted to drug allergy investigations. The majority (86.8%) completely avoided the suspected culprit drug thereafter. CONCLUSIONS: The results showed that self-reported allergy to drugs is highly prevalent and poorly explored. Women seem to be more susceptible. beta-lactams and NSAIDs are the most frequently concerned drugs. PMID: 15479276 [PubMed - indexed for MEDLINE

    Reproducibility is Nothing without Correctness: The Importance of Testing Code in NLP

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    Despite its pivotal role in research experiments, code correctness is often presumed only on the basis of the perceived quality of the results. This comes with the risk of erroneous outcomes and potentially misleading findings. To address this issue, we posit that the current focus on result reproducibility should go hand in hand with the emphasis on coding best practices. We bolster our call to the NLP community by presenting a case study, in which we identify (and correct) three bugs in widely used open-source implementations of the state-of-the-art Conformer architecture. Through comparative experiments on automatic speech recognition and translation in various language settings, we demonstrate that the existence of bugs does not prevent the achievement of good and reproducible results and can lead to incorrect conclusions that potentially misguide future research. In response to this, this study is a call to action toward the adoption of coding best practices aimed at fostering correctness and improving the quality of the developed software
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