Filters








117 Hits in 5.7 sec

Working hard to know your neighbor's margins: Local descriptor learning loss [article]

Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas
2018 arXiv   pre-print
We introduce a novel loss for learning local feature descriptors which is inspired by the Lowe's matching criterion for SIFT.  ...  Applying the novel loss to the L2Net CNN architecture results in a compact descriptor -- it has the same dimensionality as SIFT (128) that shows state-of-art performance in wide baseline stereo, patch  ...  Our loss function design should benefit from seeing more hard negative patches to learn to distinguish them from true positive patches.  ... 
arXiv:1705.10872v4 fatcat:hdypqwvdmjccdhjhfktqrdsjyu

Online Invariance Selection for Local Feature Descriptors [article]

Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys
2020 arXiv   pre-print
To be invariant, or not to be invariant: that is the question formulated in this work about local descriptors.  ...  Our framework consists in a joint learning of multiple local descriptors with different levels of invariance and of meta descriptors encoding the regional variations of an image.  ...  This work has been supported by an ETH Zurich Postdoctoral Fellowship and Innosuisse funding (Grant No. 34475.1 IP-ICT).  ... 
arXiv:2007.08988v3 fatcat:6byvawx4unbbthjanysrnaxdgi

ContextDesc: Local Descriptor Augmentation with Cross-Modality Context [article]

Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan
2019 arXiv   pre-print
In this paper, we go beyond the local detail representation by introducing context awareness to augment off-the-shelf local feature descriptors.  ...  Most existing studies on learning local features focus on the patch-based descriptions of individual keypoints, whereas neglecting the spatial relations established from their keypoint locations.  ...  Work- tional neural networks. In BMVC, 2016. 2 ing hard to know your neighbor’s margins: Local descriptor [4] M. Brown and D. G. Lowe.  ... 
arXiv:1904.04084v1 fatcat:gd2pe42w75bbjazhw33z4pwiwe

RANSAC-Flow: generic two-stage image alignment [article]

Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry
2020 arXiv   pre-print
Fine alignment is learned in an unsupervised way by a deep network which optimizes a standard structural similarity metric (SSIM) between the two images, plus cycle-consistency.  ...  simplicity, our method shows competitive results on a range of tasks and datasets, including unsupervised optical flow on KITTI, dense correspondences on Hpatches, two-view geometry estimation on YFCC100M, localization  ...  Acknowledgements: This work was supported by ANR project EnHerit ANR-17-CE23-0008, project Rapid Tabasco, NSF IIS-1633310, grants from SAP and Berkeley CLTC, and gifts from Adobe.  ... 
arXiv:2004.01526v2 fatcat:ltpp6c4gcnfmdo3pxdt2ulqqp4

Learning to Match Features with Seeded Graph Matching Network [article]

Hongkai Chen, Zixin Luo, Jiahui Zhang, Lei Zhou, Xuyang Bai, Zeyu Hu, Chiew-Lan Tai, Long Quan
2021 arXiv   pre-print
Targeting towards high accuracy and efficiency, we propose Seeded Graph Matching Network, a graph neural network with sparse structure to reduce redundant connectivity and learn compact representation.  ...  Matching local features across images is a fundamental problem in computer vision.  ...  Working hard to know your neighbor’s mar- lic, Lingyao Meng, Digvijay Singh, Vince Lyzinski, and gins: Local descriptor learning loss. In NeurIPs, 2017. 2 Carey E. Priebe.  ... 
arXiv:2108.08771v1 fatcat:b6fgvvs2yrccdjdvaseq4wiidq

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings [article]

Yifan Wang
2022 arXiv   pre-print
To measure the similarity between data objects, traditional methods normally work on low level or syntax features(e.g., basic visual features on images or bag-of-word features of text), which makes them  ...  weak to compute the semantic similarities between objects.  ...  But such information is hard to learn by using low level features.  ... 
arXiv:2204.07922v1 fatcat:u5osyghs6vgppnj5gpnrzhae5y

Chamorro Perspectives on Mental Health Issues in Guam: Cross-Currents of Indigenous and Western Cultural Discourses

Iain K. B. Twaddle, J. Peter Roberto, Ladisa D. Quintanilla
2003 South Pacific Journal of Psychology  
to Western mental health theory.  ...  AbstractIn order to promote cultural sensitivity in addressing mental health problems among the Chamorro people of Guam, the authors conducted a study aimed at exploring indigenous Chamorro alternatives  ...  ….Going to someone you don't know and having them solve your problems…is just not something we're comfortable with.  ... 
doi:10.1017/s0257543400000237 fatcat:sxkxa56nzncsbmzyhq3hhogw74

Unearthing Subaltern Agency: The Representation of Marginalized Populations in Contemporary Indian Literature

Tanushree Vachharajani
2017 unpublished
Dilip Gaonkar, whose classes and work introduced me to the field of diaspora studies and with whom I got the chance to meet many new thinkers; to Dr.  ...  Laura Brueck, who taught me the importance of the fields of translation and Dalit studies, and whose work closely informs my own. I would also like to thank Mr.  ...  Without saying anything, kaka took my hand and started walking away. 62 Things do not get reversed so easily 63 Your father and I worked very hard According to the European Union, around seven hundred  ... 
doi:10.21985/n21q36 fatcat:gteoisl6cra25hmlpbxjaxrili

2. Condition of Uncertainty Life in an Industrial Wasteland [chapter]

2018 Fragile Conviction  
, while luxury items were hard to come by.  ...  The references to a better past, of a city that had been modern and cosmopolitan, suggested a process of decline, as also seen in the use of descriptors of the present such as "primitive," "loss," and  ... 
doi:10.7591/9781501708381-006 fatcat:4jxqp5yd7ba3bcnvraj4vbxfoy

SymptomSpeak: Women's Struggle for History and Health in Kosovo

Hanna Kienzler
2021 Culture, Medicine and Psychiatry  
SymptomSpeak is a powerful language evoked, shared, and exchanged by women to articulate political, social, and economic grievances, to challenge societal norms, and to demand justice.  ...  Thereby, my intention is to contribute to a new understanding of pain as language which straddles the fine line between socio-political commentary and illness; produces gendered political realities; and  ...  In a word, I must acknowledge it, otherwise I do not know what '(your or his) being in pain' means'' (243).  ... 
doi:10.1007/s11013-021-09746-1 pmid:34463921 fatcat:sd6picrpmvfepml4455rogudgq

Macro-Finance*

John H Cochrane
2017 Review of Finance  
I highlight directions for future research, including additional facts to be matched, and limitations of the models that should prod future theoretical work.  ...  Many models reflect the same rough idea: the market's ability to bear risk is greater in good times, and less in bad times. Models achieve this similar result by quite different mechanisms.  ...  If you know what your salary will be next year, you can start looking for a better house, or a different job. If you learn what the stock market will do next year, you can buy or sell today.  ... 
doi:10.1093/rof/rfx010 fatcat:vfb3obwz4rasplg5nv4xv3ftm4

A Survey on the Explainability of Supervised Machine Learning [article]

Nadia Burkart, Marco F. Huber
2020 arXiv   pre-print
This survey paper provides essential definitions, an overview of the different principles and methodologies of explainable Supervised Machine Learning (SML).  ...  The decision-making behind the black boxes requires it to be more transparent, accountable, and understandable for humans.  ...  All of these attributes are hard to measure.  ... 
arXiv:2011.07876v1 fatcat:ccquewit2jam3livk77l5ojnqq

A Survey on the Explainability of Supervised Machine Learning

Nadia Burkart, Marco F. Huber
2021 The Journal of Artificial Intelligence Research  
This survey paper provides essential definitions, an overview of the different principles and methodologies of explainable Supervised Machine Learning (SML).  ...  The decision-making behind the black boxes requires it to be more transparent, accountable, and understandable for humans.  ...  We would like to thank our student assistants (Maximilian Franz, Felix Rittmann, Jonas Steinhäuser and Jasmin Kling) who supported us during our research.  ... 
doi:10.1613/jair.1.12228 fatcat:nd3hfatjknhexb5eabklk657ey

Reflection on a year of learning and shared commitment

M GOTTESMAN
2003 Journal of Pediatric Health Care  
In order to stimulate missional commitment, a team of leaders from Coast Vineyard in San Diego (hereafter, Coast) have engaged their neighbors in the context of a local library by practicing shared hospitality  ...  Content Reader: Mark Lau Branson, EdD Words: 299 1 Alan Roxburgh and Fred Romanuk, The Missional Leader: Equipping Your Church to Reach a Changing World (San Francisco: Jossey-Bass, 2006), 102. iii ACKNOWLEDGEMENTS  ...  do the hard work of discernment.  ... 
doi:10.1016/s0891-5245(03)00072-5 fatcat:n25ixtuibrfhhafuvds7sl3h2y

Americans, Marketers, and the Internet: 1999-2012

Joseph Turow, Amy Bleakley, john bracken, Michael X. Delli Carpini, Nora A Draper, Lauren Feldman, Nathaniel Good, Jens Grossklags, Michael Hennessy, Chris Jay Hoofnagle, Rowan Howard-Williams, Jennifer King (+4 others)
2014 Social Science Research Network  
A majority wants to know what political campaigns know about them that lead to a tailored ad, and how they learned it.  ...  Demands to let users opt out have met with half-hearted assent. Companies that allow opt out possibilities often make it hard for consumers to learn how to do it.  ...  Would your likelihood of voting for that candidate… The different N for each variable reflects when respondents said 'don't know' or 'refused' on both 'protect' and 'release'.  ... 
doi:10.2139/ssrn.2423753 fatcat:2l53xtaozzctdeu2xaxipoooei
« Previous Showing results 1 — 15 out of 117 results